DATA JOB DESCRIPTION

Data Analyst Duties:

• Define data analysis required for data products and usage patterns across data solutions e.g., ETLs, APIs, SQL etc.
• Collaboratively develop platform analysis (e.g., SQL, ETL, etc.) and validate outputs and help busines technology partner take right decisions required for the business in the roadmap for next few years.
• Support the creation and implementation of new data feeds, as well as ongoing data quality and maintenance workflows
• Perform metadata and data analysis on new and existing data sets, to support the development of new client products
• Identify data issues, set data rules and cleaning requirements, and then support in the delivery of these
• Working closely with cross-functional teams to support the implementation of data models and platform requirements.
• Provide data and platform testing support to ensure they meet our requirements
• Create innovative ways to help bring our data to life for our customers

Data Analyst Requirements and Qualifcations:

• Above all, you need to be a team player
• Strong data querying & analysis skills using any flavour of SQL, with GCP BigQuery a plus
• Knowledge of data structures and the ability enhance the data to be integrated across the business
• Excellent analytical and problem-solving skills, for example, you will need to be able to identify problematic datasets and establish a root cause.
• Experience in the visualisation of analytical data outputs on at least one visualisation platform (e.g., Qlik Sense, Tableau, etc.)
• Good communication skills to quickly gain credibility with both technical and business stakeholders
• Understanding of Python or similar would be an advantage
• Understanding of data cleansing & data maintenance experience at large corporates with technology stacks at different lifecycle stages
• Willingness and ability to learn rapidly and adapt quickly to changing situations

In enterprise reporting environments, Data Analyst Job Description ensure accurate insights and efficient data-driven decision-making processes.

Data Architect Roles:

• Design and implement effective database solutions and models to store and retrieve company data.
• Examine and identify database structural necessities by evaluating client operations, applications, and programming.
• Assess database implementation procedures to ensure they comply with internal and external regulations.
• Install and organize information systems to guarantee company functionality.
• Prepare accurate database design and architecture reports for management and executive teams.
• Oversee the migration of data from legacy systems to new solutions.
• Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.
• Recommend solutions to improve new and existing database systems.
• Educate staff members through training and individual support.
• Offer support by responding to system problems in a timely manner.

Data Architect Qualifications:

• 3+ years of data engineering / development / integration experience of large-scale data platforms
• BA/BS degree in Information Science, Data Analytics, Computer Science, Software Engineering or related technical field
• Experience with Databrick, Snowflake
• Knowledge of at least one modern scripting language (Python, R, etc.)
• Understanding of cloud infrastructure
• Experience with automated software testing and deployment
• Experience supporting or working in enterprise analytics environments
• Experience with Enterprise Data Warehouse development
• Comfortable with data modeling practices (normalizing, dimensionalizing)
• Expert in design and implement reliable, scalable, and performant distributed systems and data pipelines
• Experienced in security and access management
• Experience with Columnar database
• Ability to read and create ERDs
• Intermediate SQL experience
• Strong problem-solving skills and attention to detail
• Ability to work with geographically distributed teams
• Ability to work with other teams across an organization
• Strong oral and written communication

Data Assistant Details:

• Day to day data administration using Salesforce, Pardot and other systems
• Execute the data process for all new subscribers and manage the customer service inbox
• Collate, prepare and analyse performance data for all End of Client Campaign reports
• Run regular imports for data from external source using the appropriate tools to ensure all contacts and companies are correctly coded and categorised
• Improve the quality of The Drum data, using the appropriate tools to ensure all contacts and companies are correctly coded and categorised
• Validate contact data via ongoing data cleansing tasks
• Create campaign segments or marketing lists to support marketing and commercial campaigns
• Research and acquire data from competitor leads and relevant third parties
• Support the production of accurate and regular management information, reports and data exports as needed
• Provide guidance to colleagues on day-to-day data related queries
• Work with external vendors on ad-hoc data tasks and projects as required
• Support other members of the Data Team and their tasks/projects, where required
• Support the overall goal of data integration across the business
• Act as a steward of the database, ensuring information is gathered, handled, and shared in accordance with internal governance and compliance policies

Data Assistant Experience and Requirements:

• Experience of working with customer data, data marketing, data cleansing, segmentation, list building
• Experience in customer service desirable
• Experience of data and CRM platforms (Salesforce experience is desirable but not essential)
• Experience working with data in Microsoft Excel is desirable
• Experience of working as part of a Data, Marketing or Customer Service team
• A degree or qualification in a relevant subject would be preferable but is not essential

Senior Associate, Provider Data Duties:

• Responsible for submission of provider data into multiple systems – i.e. claims, directory, HSD Tables
• Act as a SME (subject matter expert) for provider demographic loading into all systems
• Provide support for questions and issues raised by staff as quickly as possible - supporting the timeliness of the review or outreach
• Conduct provider outreach via outbound calls for demographic validation
• Validation of data extracts to ensure accuracy of directories and HSD Tables
• Maintain provider data in accordance with CMS regulations
• Intake provider data from multiple sources.  Vet and distribute data to appropriate personnel.

Senior Associate, Provider Data Experience and Qualifications:

• High school diploma or equivalent is required, Bachelors or Masters degree strongly preferred
• Experience with data-entry in health services industry preferred
• Strong knowledge of Microsoft Excel
• Ability and willingness to share knowledge
• Detail oriented, with proven time management and organization skills (including the ability to engage in multiple tasks and meet deadlines/standards)
• Act with a sense of urgency to research questions or issues brought by the team
• Be a positive role model and have the ability to work independently and in conjunction with co-workers of all levels
• Strong analytical and problem-solving skills
• Excellent communication skills – verbal, written and presentation
• Working knowledge of SharePoint, Microsoft Word, & Access

By supporting regulatory compliance initiatives, Big Data Job Description help achieve accurate reporting and streamlined enterprise data management.

Data Capturer Responsibilities:

• Data quality control – perform regular data checks on the REDCap database and generate data queries if necessary
• Proof read of data captured
• Ensure accurate, timeous data entry into databases as per study protocol, SOP and as per Data Manager’s request
• Complete quality control log with all errors that were picked up during data review and circulate them to staff members daily, including sending daily reminders to staff to correct errors according to QC log
• System Development – In collaboration with the systems developer, deliver exceptional system administrative support.
• Ensures data form from source documents for the trail are accurately reflected on the Case Report Forms (CRF) or electronic
• Transcribe paper case report forms which may be collected in the event study staff are unable to access the study electronic database (REDCap)
• Conduct basic review, query generation/resolution to support clinical study team activities according to the protocol.
• Identifies problems or potential problems and reports them to the Data Manager
• Ensure hardware and software required to carry out data administrator tasks are maintained and in working order

Data Capturer Skills, Experience and Requirements:

• Grade 12 Certificate 
• At least 1-2 years clinical trial research experience in capturing data or data administration
• Valid Good Clinical practice certificate (GCP) from an accredited provider like Crede
• Computer skills, ability to maintain excel spreadsheets/ and Ms Access, OpenClinica REDCap, imedidata (at least 2 of these)
• Excellent written and oral communication skills in English
• Ability to work under pressure with high volumes of daily processing
• Good interpersonal skills and excellent attention to detail
• Good planning and organising skills
• Ability to set and meet deadlines with high quality
• Work Standards
• Ability to work within a team and independently

Data Collector Functions:

• Eligibile candidates will be contacted for further steps
• Responsible for data quality, explaining the movement of data on a shop by shop basis across India
• Conduct audit work assigned in accordance with the standard NielsenIQ procedure outline in Manual
• Maintain good relationship with retailers and the stability of the panel
• Sign up new outlets and replace drop out within the next audit cycle
• Adhere to work schedules and submit field reports within the operating schedule
• Adhere to work schedules and submit field reports within the operating schedule Make necessary preparation before audits i.e. contact details, arrange documents, forms and incentives
• Adhere to field instruction and attend all briefings organized by senior staff
• Conduct fieldwork for Retail census
• Conduct ad hoc fieldwork assignments which may be assigned from time to time

Data Collector Requirements and Qualifications:

• Candidate must possess at least SPM or 'O' level
• Comfortable working with data and numbers as well as collecting and reporting information
• Good communication skills and pleasant personality
• Attention to detail and inquiring mind
• Ability to work under pressure and set timelines
• Team player with collaborative disposition
• Flexible and active with high stamina
• Business English will be an advantage
• Willingness to travel across Singapore
• Willing and able to be outside, in all weather conditions, going door-to-door to retail stores.
• Willing and able to interact with people for several hours, as needed, regardless of the location or condition of the environment.

Data Consultant Roles:

• Create new client deliverables in accordance with procedures;
• Create/contribute to developing technical tools for automated quality assurance;
• Perform end of gate quality control on data;
• Advise on technical feasibility of new deliverable requests and create samples;
• Interpret data connecting content knowledge with technical knowledge;
• Monitor and report on team KPIs;
• Contribute to projects and product development;
• Identify opportunities for deliverable automation and process optimization.

Data Consultant Requirements:

• Bachelor’s/Master’s degree in statistics, informatics, economics or mathematics;
• Relevant (2+ years) work experience in handling data and building reports;
• Strong analytical skills including data QA knowledge/experience;
• Solid Microsoft Excel skills;
• Python and/or SQL skills or commitment to learn;
• Willingness to learn new solutions and technologies (e.g. BI tools – Power BI);
• Adaptable, creative, autonomous, solution driven;
• Highly organized, meticulous, striving for excellence;
• Integrity and teamwork skills;
• Good understanding of corporate data, market data, fundamental data, and reference data is considered an asset.

Data Controller Duties:

• Monitor and update Master Data in SAP e.g Supplier lead times, customer lead times, pricing Standard manufacturing times etc
• Identify areas of improvement within the current ways of working – are reports fit for purpose, providing data as expected?
• Extract and analyse data from SAP to develop KPI’s detailing age and maintenance requirement of master data
• Taking a lead role in the SAP Super User Group where internal SAP modifications / report requests are reviewed, assessed for suitability and need then follow the implementation and delivery of the assessment outcome.
• Working closely with external Global SAP team.
• Monitor and maintain key function areas such as COGI, LL01 and other housekeeping reports.
• Generation of new product up-load templates.
• Action mass upload requirements ensuring all data loaded into SAP is ‘clean’ and accurate
• Supporting NPI process with the creation and ownership of new system data highlighting critical data gaps.
• Working with key stakeholders to ensure changes to product data is tracked

Data Controller Experience and Knowledge:

• HNC or equivalent experience in a technical discipline
• Working knowledge of SAP
• Highly Analytical
• Very strong excel skills
• Process driven with ability to document and create processes.
• Extremely high attention to detail
• Inventory movements and changes
• Understanding of customer requirements
• Ability to solve problems
• Desireable Skills And Experience
• Power BI experience/knowledge

Database Administrator I Duties:

• Must possess operational skills to evaluate and interpret data files from clients and map it to standard data structures.
• Must be able to communicate effectively both verbally and in writing to both a technical and non-technical audience.
• Will interact with customer IT resources to explain data formats and ensure data extracts satisfy requirements.
• Builds ETL components according to specifications. Code must address performance, dependency, auditing, error handling and data quality issues.
• Responsible for data integrity as well as the quality of data within Data Warehouse
• Apply client-focused continuous quality improvement processes.
• Might require On-call rotation

Database Administrator I Experience and Requirements:

• High School Diploma - Required
• Bachelors Degree or advanced student in Computer Science or related career is desired.
• 2-4 years of experience creating, modifying and using SQL store procedures- (SQL)
• 2 of programming experience developing solutions that are secure, robust and scalable.
• Experience inspecting and analyzing different file types and formats- (Filezilla/SQL)
• Configure and troubleshoot various file uploading processes- (SSIS/SQL/JAMS/SA Batch System)
• Create, modify and use SQL store procedures - (SQL)
• Review, analyze and create reports - (Tableau)
• Experience using .NET, Visual Studio VB.NET and/or C# for automating business process a plus
• Experience with Microsoft SSIS a plus
• Experience with Artiva a plus
• Experience with software support and delivery in the healthcare industry a plus.
• Independent problem solving and self-direction are critical.
• Must be able to handle multiple tasks, take initiative and prioritize multiple work items.
• Strong attention to detail and accuracy are required.
• Proven previous job stability, including maintaining long-term work relationships with former employers.

Data Developer Functions:

• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies.
• Design and develop SQL, set based, & ETL data integration architecture solutions
• Work with the Data Analysts, Data Architects, BI Architects, Data Scientists and Data Product Owners to establish understanding of source data and determine data transformation and integration requirements
• Troubleshoot and tune complex SQL
• Utilize On Prem and Cloud based ETL platforms, various scripting languages, SQL, querying tools, data quality tools, and metadata management tools.
• Develop data validation processes to ensure data quality
• Demonstrated ability to work individually and as a part of the team in a collaborative manner

Data Developer Skills, Abilities and Experience:

• Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, or a related field.
• 3+ years of experience with data engineering, ETL, data warehouse development, or data lake development.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience working with Cloud Data Warehouse platforms such as Snowflake or AWS Redshift
• Matillion ETL, Informatica PowerCenter, various scripting languages, SQL, querying tools
• Experience with AWS cloud services: EMR, RDS, Redshift, DynamoDB, S3,etc.(nice to have)
• Familiarity with modern data management tools and platforms including Spark, Hadoop/Hive, NoSQL, APIs, Streaming, and other analytic data platforms (nice to have)
• Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc., a plus. (nice to have)
• Experience with Agile/Scrum is valuable.
• Ability to work with business as well as IT stakeholders.
• Strong written and oral communication skills with ability to work with users, peers and management.
• Strong interpersonal skills.
• Ability to work independently and as part of a team to successfully execute projects.
• Highly motivated, self-starter with problem solving skills.
• Ability to multitask and meet aggressive deadlines efficiently and effectively.
• Extraordinary attention to detail and accuracy.

Data Engineer Roles:

• Maintain, enhance and develop data pipelines to enrich data sets
• Undertake and deliver data-related projects, partnering with Data Analysts and business stakeholders to gather requirements
• Ensure data models are regularly reviewed to remain efficient and fit for purpose
• Implement governance measures to maintain data integrity and accuracy
• Coach team members on how to interpret and effectively use available data
• Design experiments to improve team predictability by capturing accurate baseline metrics and measuring outcomes
• Perform ad-hoc activities including data auditing and report creation as required
• Support administrative activities to maintain and manage key operational tools

Data Engineer Experience and Qualifications:

• Hands-on experience (1+ years) building data-driven solutions
• Experience working with large datasets, integrating new data sources from APIs and external services, database design, and query optimization using SQL, Snowflake, JSON, and related technologies
• Strong organizational, analytical, and time management skills with exceptional attention to detail
• Clear communication skills with the ability to present information effectively
• Pragmatic, innovative, and self-motivated problem solver with strong critical thinking skills
• Professional proficiency in spoken and written English
• Basic knowledge of Python and/or R is an advantage
• Understanding of Lean-Agile principles and software development practices

By supporting scalable analytics platforms, Data Engineer Job Description help achieve reliable data integration and optimized enterprise reporting.

Data Expert Functions:

• Establish and maintain policies and standards for end-to-end data governance
• Define data governance operational processes (e.g., data quality measurement) in accordance with policies and standards, clearly articulating roles and responsibilities
• Monitor and measure compliance to standards and processes
• Support data domain working sessions by setting the agenda and preparing supporting documents
• Solve cross-BU governance issues and escalate as needed
• Create, manage and facilitate a Data Policy Governance process to identify and understand the critical data issues and ensure data policy enforcement and compliance
• Ensure governance mechanisms are in place to monitor and control access to data
• Conduct training sessions with the data stewards on the policy, standards and processes
• Coordinate with Data Stewards for each domain to achieve defined goals within group data management
• Support Data with communication of key governance priorities and successes across the enterprise as needed

Data Expert Requirements:

• Highly skilled at facilitation and building consensus among diverse groups of stakeholders
• Demonstrated ability to research, write, and verbally communicate about technical topics for a broad audience
• Track record of dealing well with ambiguity, prioritizing needs, planning and managing multiple projects, and delivering measurable results in a fast-paced environment
• Demonstrated understanding of data governance concepts
• Demonstrated partnering skills with both technical and non-technical partners, including senior leadership
• Ability to query and profile data to extract insights
• Exceptional communication and collaboration skills to understand business partner needs and deliver solutions
• Strong leadership experience in an enterprise or cross-functional role
• Strong project management leadership
• Proven ability to coordinate cross functional teams of business, IT and other key stakeholders
• Clear leadership mindset
• Ability to influence others
• Respected within the organization across disparate stakeholder groups

Cloud and Data Intern Duties:

• Building tools and services to maintain a robust, scalable data service layer
• Design, develop and implement real-time and batch data processing systems by working with our sensor data and other data sources
• Develop responsive and scalable Python scripts which interact with various AWS resources to automate repetitive tasks
• Manage databases (i.e. MySQL, DynamoDB, Elasticsearch, etc)
• Development of various API’s to interact with front-end and other modules

Cloud and Data Intern Skills, Experience and Knowledge:

• Candidate with a Bachelor’s Degree in Computer Science, Software Engineering, Information System or a related discipline is preferable, but not required
• Python proficiency as the primary skill set
• Strong OOP (object-oriented programming) skills and passion for clean, organized codes
• SQL knowledge, including exposure to or experience with NoSQL databases (such as Amazon DynamoDB)
• Experience with Amazon Web Services (AWS), particularly Lambda, S3, and CloudWatch is a plus
• Completion of personal Python projects is a plus
• Experience with Git and/or GitHub is a plus
• Experience with CI/CD is a plus
• Individual who is passionate, resourceful, self-motivated, highly committed, a team player and able to motivate others
• Ability to learn quickly
• Good verbal and written communication
• Must be willing to work in a highly dynamic and challenging startup environment

Data Manager Roles:

• Perform document control and management of project information in support of the project team;
• Registration, distribute and disposition project documentation in accordance with documented policies and procedures;
• Provide support, guidance and governance to the project teams;
• Supports document management systems and related methodologies, that allow the organisation to capture, store, retrieve, share, and archive electronic records and documents;
• Advance consideration of information management through support, mentoring and training of project teams;
• Provide backup Systems Administration for the Project Document Management Systems;
• Assist with problem solving of Document Control issues, and contribute to the process of continuous improvement;
• Process mapping of information flows, and assisting with creation of procedures, work instructions and help guides;
• Maintain, monitor and report DM baselines and version control;
• Ensure contractually complaint transfer of deliverables and correspondence; and
• Proactively identify and drive process and data quality improvements.

Data Manager Knowledge and Experience:

• Demonstrated experience in Data Management;
• Advanced knowledge of MS Office, MS SharePoint and PDM systems;
• Distinct knowledge and experience in data/documentation management;
• Target-focused, structured and independent working approach, analytical mind and reasoning;
• Exceptional communication skills, both written and verbal;
• Ability to influence people from different levels of the organization; and
• Must hold or be eligible to obtain an Australian Government Security Clearance (must hold Australian Citizenship).

With a focus on governance and compliance, Data Manager Job Description drives secure and efficient project documentation workflows.

Senior Configuration and Data Manager Details:

• Provide product configuration management and data management (CM/DM) support for full life cycle of projects in the DoD acquisition program to meet requirements and program objectives. 
• Support program-level CM/DM activities and associated policies and procedures encompassing CM of software, hardware, and documentation. 
• Provide analytical support for the development of CM/DM policies, procedures, and practices for planning, documenting, managing, and controlling change to the technical baseline. 
• Apply advanced consulting, extensive technical expertise, and full industry knowledge. 
• Develop innovative solutions to complex problems. Work independently with minimal direction.

Senior Configuration and Data Manager Experience, Knowledge and Requirements:

• 5+ years of experience in aircraft systems CM/DM, including planning, project configuration identification, change control, change and configuration control boards, change request management, and status accounting and reporting
• Experience with developing and documenting CM/DM procedures and ensuring compliance with DoD CM policies, procedures, review cycles, instructions, and standards
• Knowledge of hardware CM, software development life cycle, and project management methodologies
• Ability to identify and present CM/DM process issues and solutions to team members at all levels
• Secret clearance
• Bachelor's degree
• Experience with DoD ACAT II or larger acquisition program office
• Experience with aircraft and system avionics, subsystems development, testing, production, and operational use

Data Management Analyst Functions:

• Develop detailed knowledge of Sanofi’s data, data flows, and processes
• Perform data analysis and provide input to solution design and architecture to ensure the solution meets requirements.
• Extracts, aggregates, manipulates, categorizes, cleans, and transforms data associated within an identified problem space.
• Performs exploratory data analysis and feature generation
• Identify, analyze, and interpret trends or patterns in complex data sets
• Drive alignment across stakeholders on enterprise data models and definitions
• Partner with stakeholders to get buy-in on, develop, and implement Sanofi’s data management standards, policies, and best practices
• Actively solicit stakeholder feedback on solutions and drive improvements as needed
• Gather requirements needed to sustainably implement data management standards
• Partner with various data team members to drive innovation
• Recommend KPIs and develop reports to monitor adoption of and adherence to data management standards
• Share regular updates with stakeholders regarding proposed solutions, timelines, progress, and issues
• Participate in testing activities to ensure data integrations are properly implemented

Data Management Analyst Knowledge and Experience:

• Strong experience in SQL writing and profiling of Data.
• Strong understanding of databases and data structures
• Experience with process design, implementation, and improvement
• Excellent written and verbal communication skills
• Experience working with multiple teams to drive alignment and results
• Exceptional stakeholder management skills
• Attention to detail, sense of urgency, and commitment to deadlines
• Strong analytical skills with the ability to identify, quantify, and effectively raise business risks associated with data quality or non-compliance
• Experience developing best practices, policies, and/or procedures
• Understanding of privacy laws and regulations
• Exposure to tools used to support data management, specifically business glossary and metadata management, data cataloging, and data quality
• Knowledge of Informatica Suite of Tools

Senior Data Management Analyst Responsibilities:

• Lead team of data analysts to create and maintain processes to load and monitor Material Master data.
• Develop process platform and routines to load data to SAP, perform audits and generate metrics.
• Champion data quality initiatives and drive data accuracy across all phases of material data management.
• Responsible for delivery and accountable for an end-to-end Material Master data support for HBT Business.
• You will support data governance and Enterprise Information Management initiatives.
• Lead and support digital transformation initiatives for HBT (DSO/Titan Project, Error Proofing, SKU Rationalization).
• Develop robust Master data creation and maintenance process across HBT business.
• Build Honeywell Global standard data validation governance process to support ISC digital initiatives ( Rapid Response, data accuracy & data quality).
• Build internal capability and grow talented workforce to deliver on all HBT ISC initiatives and goals.

Senior Data Management Analyst Experience and Qualifications:

• Bachelors degree in Computer Science, Business or Manufacturing.
• Fundamental knowledge of concepts, practices and procedures of data management.
• Previous experience as SAP Material Master process owner/data analyst and broad knowledge of supply chain methods and manufacturing business rules.
• Extensive experience with SAP Material Master functions, data and processes and/or extensive SAP Manufacturing or Order Management experience.
• Significant data and root cause analysis skills.
• Knowledge of overall business practices including manufacturing, supply chain, procurement and data management are essential.
• Experience providing day-to-day direction to colleagues and indirect reports.
• Project management background and experience leading cross functional initiatives.
• Mass data creation/update through Winshuttle; establishing Winshuttle scripts for custom uploads is an advantage.
• Understanding of Engineering and New Product Introduction (NPI) processes.

Data Programmer Roles:

• Create server-side game logic for online social mobile games
• Work with client-side developers to create efficient communication structures and ensure synchronization between client/server.
• Work with the core server team to create and optimize APIs to facilitate game creation
• Write client and server-side code to support integration with third-party/external platforms such as analytics, CDN, login, matchmaking, user data storage, etc.
• Work with client team, core tech team and external providers to ensure that game data is secure, reliable and efficient
• Take initiative to improve coding quality guidelines, tools and methods, including unit testing, code analysis, build systems automation, deployment automation etc.

Data Programmer Experience and Requirements:

• Experience with one or more server frameworks, such as Node.js / Express, etc.
• Solid knowledge of Javascript/Typescript
• Experience with REST-style interfaces and other web service-related technologies
• Familiarity with database technologies such as MySQL, Oracle and MongoDB, Redis
• Successfully implemented server-side logic for one or more multiplayer games or other applications with similar interaction.
• Experience with long-connection programming, such as with TCP/IP, Websockets, Socket.io, etc
• Experience writing code which interfaces with third-party platforms such as payment, advertising, etc.
• Experience building/working with scalable systems for large numbers of users (load balancing, DB sharding)
• Experience with social platform integration such as Facebook, Wechat, etc.

Data Researcher I Details:

• Performs straightforward, stand-alone tasks or transactions within detailed instructions and predefined procedures
• Responsible for entering and editing data in work tools as per specified guidelines and checklists
• Captures comprehensive information on the data tracked by the respective department
• Reviews feedback involving their content to help correct errors and establish or refine procedures and processes to improve accuracy
• Deliver on predefined individual and team targets including delivering outcomes with quality and excellence
• Works within own team understand, enhance or update processes and procedure by remaining up-to-date in knowledge of content sets.
• Increase learning by accomplishing Learning Xchange modules as well as modules for policy compliance
• Fosters innovation by identifying enhancement initiatives that support our LEAN philosophy

Data Researcher I Qualifcations:

• Bachelors Degree with an inclination to work in non-financial content (Primary: Business Administration, Finance, Marketing)
• Intermediate to advanced computer skills
• Keen to details with strong focus on data quality and accuracy
• Strong Communication and good reading and comprehension skills.
• Able to collaborate across multiple cultures
• Highly reliable with no issues on attendance and should be ready to work in night shifts as per business needs
• Good competitive attitude towards work.
• Fresher/Experienced, both type of candidates are considered
• Preferred Qualifications/Skills
• Any experience of research or data collection are advantage.
• SQL and advanced Excel skills are advantage.
• Any related industry background is a plus.
• Possesses operational excellence, processes and lean mindset.

Compliance Data Reviewer Roles and Responsibilities:

• Performs thorough review of all raw data, electronic data, and documentation, including, but not limited to content, results, data accuracy, data integrity, and compliance to applicable SOPs, test method, specifications, and/or protocols.
• Reviews method validation, method verification, and method transfer protocols and reports, as required
• Recognizes the need for investigations due to out-of-speciation (OOS) results, out-of-trend (OOT) results, atypical results, and deviations from written procedures
• Review analytical procedures, test methods, and reports, as required and ensure compliance to regulatory and compendia requirements
• Provide support for investigations, as required
• Conduct audit trail review of electronic laboratory systems, as required
• Initiate SOP updates and improvements, as appropriate
• Support internal and external audits, as required

Compliance Data Reviewer Skills, Experience and Knowledge:

• BS Degree in Chemistry (preferred), or associated scientific field
• A minimum of two (2) years of laboratory experience, preferably in the pharmaceutical industry
• Experience evaluating analytical data, GMP documentation, and data integrity
• Familiar with analytical testing methods and validation including laboratory instrumentation
• Knowledge of pharmacopeia and compendia requirements
• Strong critical thinking and problem solving skills
• Familiar with laboratory computerized systems such as Empower, CDS, UV Winlab, etc.
• Familiar with analytical testing methods and validation including laboratory instrumentation
• Experience and knowledge in 21 CFR data integrity requirements
• Previous cGMP/regulatory experience is preferred

Data Scientist Duties:

• Evaluate effectiveness of proposed models and track business performance against data analysis model.
• Build cutting-edge algorithms and work with machine learning and deep learning tools to deliver advance analytics solutions across the firm including recommendation engines, customized data models, customer journeys, graph modes, etc.
• Drive application of machine learning and big data techniques across different journeys and squads.
• Manage, execute, and review complex data science projects in an agile manner and in compliance with internal regulatory requirements.
• Lead the identification and interpretation of meaningful and actionable insights from large data and metadata sources.
• Review processes and tools designed to monitor and analyze model performance and data accuracy.
• Proactively lead discussions in 3+ squads to identify questions and issues for data analysis
• Collaborate with Data Engineers to build complex, technical algorithms in data analytics software applications to improve work efficiency.
• Manage project conflicts, challenges and dynamic business requirements to keep operations running at high performance.
• Work with team leads to resolve people problems and project roadblocks, conduct post mortem and root cause analysis to help squads continuously improve their practices to ensure maximum productivity.
• Mentor and coach Data Analysts into fully competent Data Scientists.
• Identify and encourage areas for growth and improvement within the tribe.

Data Scientist Experience and Requirements:

• Bachelor's or Master’s degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering or Information Technology
• 7+ years of relevant experience in areas of data analysis, machine learning, deep learning model development on large amount of data, implementing and deploying various statistical models
• English proficiency requirements are pursuant to Techcombank's policy
• Deep experience in querying databases and using programming languages (e.g. C, C++, R, Python, Scala, SQL, Java, Tableau, R)
• Extensive experience in building data and analytics solutions, data mining, statistical analysis and data visualization
• Experience in application of machine learning and AI to questions related to the financial markets
• Experience in providing fact-based insights to help senior management and other stakeholders realize enterprise value at scale
• Deep experience in Agile Software Development and has mastery of Agile principles, practices and Scrum methodologies
• Experience working in Agile teams to lead successful digital transformation projects, involved in the end-to-end planning to implementation

Through advanced analytics and machine learning initiatives, Data Scientist Job Description enable scalable business insights and predictive decision-making.

Data Specialist Functions:

• Ensure that organizational data is secure
• Back up and restore data to prevent data loss
• Identify user needs to create and administer databases
• Make and test modifications to database structure when needed
• Maintain databases and update permissions
• Merge old databases into new ones
• Analyze data to identify patterns and trends
• Collecting and interpreting data
• Identifying patterns and trends in data sets
• Working alongside teams within the business or the management team to establish business needs
• Defining new data collection and analysis processes

Data Specialist Skills, Abilities and Experience:

• Bachelor's degree in information management, data analytics, computer science, or a similar field.
• 3+ years experience as a data specialist.
• Ability to read, interpret, and verify data from multiple formats.
• In-depth knowledge of data retrieval and storage systems.
• Ability to work independently on projects.
• Excellent communication and report-writing skills.
• Strong analytical and problem-solving skills.
• Experience with end-user training and support

Data Strategist Functions:

• Use syndicated research tools, such as Simmons and Global Web Index, to conduct target analyses and build audience profiles
• Build Boolean queries in social listening tools, like Netbase or Infegy, to understand drivers and triggers within consumer conversation
• Tell a story through data via presentation of material
• Learn about the client’s business, including financials, industry, competitive landscape, marketing channels and strategic direction
• With guidance, set up and provide reporting across several channels, including brand, website, email, online media, ecommerce, social media, mobile, mobile applications, retail and video
• Develop tagging architectures and QA processes for digital builds
• With oversight, determine, calculate and interpret key metrics
• Proactively identify project issues, escalating and actively “managing up” and knowing when to ask for support
• Actively participate in client deliverables, for both creation and presentation
• Build rapport with internal and external teams and develop basic client management skills
• Support Senior Data Strategists in ongoing project needs

Data Strategist Experience, Knowledge and Qualifications:

• Minimum of 1 year of experience in marketing analytics or similar
• Bachelor’s degree in a related field, or equivalent training and/or experience
• Creative agency, market research or media agency background work
• Incredibly organized with ability to multi-task in a fast-paced environment
• Ability to prioritize tasks and manage own workload
• Knowledge of syndicated research tools (e.g. Simmons, Global Web Index) and social listening tools (i.e. Netbase, Infegy) to conduct consumer and category research
• Knowledgeable of the traditional and digital media landscape, including paid, owned, earned analytics and insights platforms
• Experience in using Business Intelligence or data visualization tools (Tableau, Looker, etc.) a plus
• Proficiency in Excel and PowerPoint
• A strong desire to learn and a passion for marketing, analytics and the data industry
• Solid verbal and written communications
• Ability to work independently on a project or in a team environment
• Knowledge of statistical techniques and programming languages is desired

Master Data Technician Details:

• Coordinate material creation phase with multiple departments such as; CSR, Design, Graphic and Operation
• Verify routing through validation of specs
• Create and modify material in SAP , confirming optimal machinery and plant
• Support tooling ordering and/or Validate tooling is in place (dies, plates, inks)
• Under Sales & Operations governance, take charge of material transfer when needed
• Maintain machine specifications and escalate to the governance committee if a change is required to exceed customer's requirements
• Receive production requests, filter and take corrective actions when necessary
• Support design-related functions as required such as CAD drawings

Master Data Technician Abilities and Education:

• Your background and strengths
• Education in related field or experience in a similar role
• SAP software knowledge would be considered an asset
• Understanding of corrugated and/or packaging industry is a definite asset
• Good attention to detail
• Ability to manage mandates autonomously
• Ability to proactively address issues and problems by proposing solutions
• Excellent organizational skills and versatility
• Teamwork and ability to develop internal relations and contacts

Data Warehouse Manager Roles:

• Management of an Azure EDW development team consisting of permanent employees and contractors
• Grow the team through hiring
• Solution design using Microsoft Azure services and related tools
• Liaison with ML/AI team as downstream customers of EDW data assets
• Design of enterprise data models and data warehouse solutions
• Specification of ETL pipelines, data integration and data migration design
• Design & implementation of master data management solutions
• Specification of Data Quality Management methodology and supporting technology tools
• Work within a project management/agile delivery methodology in a leading role as part of a wider team
• Engage with other stakeholders/end users in the software development lifecycle – PMs, BAs, Business Leads, Testing etc
• Development of documentation for standards, compliance, and processes

Data Warehouse Manager Experience an Requirements:

• Experience managing a diverse, remote-hybrid development team in a SOX-compliant data ecosystem
• Direct experience of solution shaping and architecture development in a financial services environment
• Strong evidence of data modelling and data design (ideally using Kimball)
• Experience creating ETL pipelines with Azure modern data tools
• Hands-on experience Architecting and delivering solutions using the Azure Data Analytics platform including Azure Databricks, Azure Data Factory, Azure Storage, Azure SQL Data Warehouse/Synapse, Azure Data Lake
• Experience in the design of reporting & data visualization solutions such as Power BI, Tableau, or Qlik in a financial services environment
• Experience with Master Data Management & Data Quality tools
• Good grasp of ITIL and data security practices & procedures
• Ability to work with VP- and C-level leadership to concretely define the business model, partnering with SMEs to map business processes against data and information assets
• Direct experience in the insurance, title insurance or financial services industries is desired