• Overall management of production quality-related issues and data, finding the difference points, then making an analysis
• Organize quality data into daily, weekly and monthly reports
• Lead to pass the field early, issues and lessons learned on the new model programs
• Responsible for collecting all the new model's relevant issues and lively updates
• Make trend forecasts and continuously improve
• Collect the parts matching data and vehicle defaults and then follow the issue progress
• Upgrade the key quality problems solving
• Check the quality of deliverables during the key gate.
• Explore to understand the client’s transactional data
• Process and capture the documents into structured data using tools and templates
• Map the transactional data to the agreement/contract
• Analyse this data alongside various emails, documents, checking and verifying that transactions are compliant.
• Identify the root causes and provide detailed reporting for any discrepancies found
• Contact and discuss compliance findings with the project team or customers by email, IM, and use tools and all data available to resolve the discrepancies and attempt to reconcile and recover any funding which may be outstanding
• Handle various data checks and perform a review to ensure data consistency and accuracy

Skills: Quality Management, Data Analysis, Reporting Skills, Issue Resolution, Trend Forecasting, Compliance Verification, Root Cause Analysis, Data Consistency

• Aide for all development & implementation activities of all software solutions and Oracle DBA,
• Aide for planning and providing data elements and data integrity for all software products of the company, which also includes data for Bill payment machines, Web presentment, principles and fetch & reconcile the invoice data before presenting it, the principals in coordination with Sr. Manager Finance. Coordinate with the principals as instructed in regards to operations and invoice-related matters.
• Aide for IT operations which includes software application processing
• Prepare and submit monthly MIS and other related performance reports to the management.
• Provide advice on evaluation, selection, implementation and maintenance of information systems,
• Supervising the upload & download logs for each and every PDA / meter reader activity,
• Prompt analysis and resolution of the problems in IBS or any software raised by the end-users,
• Upgrade and update with emerging technologies or applications and the opportunities to integrate them into operations and activities related to organization's website,
• Defining workflow & process flow for office automation purposes,
• Deploy support and maintain all principal-related applications and related integration applications,
• Initiate new developments for migration of organization's legacy application to the industry standard platform,
• Implement and monitor policies and procedures for IT security as per the approved IT policy manual, Software Application Administrator including Design of software application, Database design & development, Monitoring application performance, Modifications/Enhancements to programs, Software Development, Software Testing, Application Tuning & Monitoring, MIS development

Skills: Software Support, Oracle DBA, Data Integrity, MIS Reporting, IT Operations, Application Development, Workflow Design, IT Security

• Develop ETL including data mappings, data extractions and data transformations
• Manipulate, analyze and interpret complex data sets 
• Perform analysis to assess the quality of the data and the meaning of the data
• Prepare reports based on analysis and presentation 
• Create data reports, dashboards, graphs and visualizations
• Work closely with customers to identify improvements in existing processes and new processes that bring meaningful and actionable insight to the underlying data
• Handle data discovery, exploration, and insights generation for business and product improvements
• Define requirements & develop reports to be used by the business, ops, & product team
• Gather and research data from external and internal data sources to be used for insight generation 
• Collaborate with Data Engineers to improve data quality and resolve data issues that may occur. 
• Provide them with supporting evidence
• Regularly review data reports, take action to address the issues, and follow up to ensure problem resolution.

Skills: ETL Development, Data Analysis, Data Quality, Reporting Skills, Data Visualization, Process Improvement, Data Discovery, Collaboration Skills

• Developing an expert understanding of how data is structured, how to capture and present data and what insights can be derived from it
• Learning about the businesses support to assist and improve upon the reporting and data collection tools already in place
• Building out the tools and dashboards to deliver data for all teams across the company.
• Staying up to date with the latest analytics and data tools and techniques, and identifying how they can be utilised throughout the company.
• Championing the effective and appropriate use of all of IT business tools and liaising with third party IT helpdesk to resolve issues across the company.
• Understand the day-to-day issues that business faces, which can be better understood with data
• Compile and analyze data related to business issues
• Develop clear visualizations to convey complicated data in a straightforward fashion
• Preparing Transparency reporting by collecting, reconciling, analyzing, remediating and summarizing data on Health Care Professional Interactions and Spending
• Cooperation with clients’ key data users (sales & business representatives) for follow-up on data analysis
• Proactively perform research on the latest Transparency updates
• Preparing regular updates to clients on KPI’s and data analysis
• Adheres to the latest Transparency regulations and reflects these in data analysis, actively participating in process and system development
• Maintaining all process documentation

Skills: Data Structuring, Business Analysis, Dashboard Development, Analytics Tools, IT Liaison, Data Visualization, Transparency Reporting, Process Documentation

• Play a key role in defining the future of the Specialized app ecosystem by communicating insights derived from the data to enable data-driven decisions.
• Identify user pain points through data analysis and propose areas of improvement for the products.
• Develop and maintain regular KPI dashboards for the app ecosystem, as well as constantly look for ways to improve the team’s measurement practices.
• Build dashboards to inform the product experimentation and feature discovery process.
• Perform ad-hoc analysis of the data to answer important business questions.
• Work with product owners, software developers, designers, and QA to define success metrics for new features and ensure events are in place for accurate tracking.
• Work within the S-Digital team, interface with the Data team to ensure efforts meet technical requirements for scale and stability of data sets.
• Clear documentation and communication to a diverse audience, including software developers, product owners and company leadership.
• Identify key data acquisition targets and strategies to achieve those.
• Maintain a running backlog of data stories to be prioritized in S-Digital sprint planning.
• Establish KPI’s for initiatives based on industry benchmarks.
• Understand the needs of the business and develop a POV on how and what tools we might need to supplement the weaknesses of the current web analytics set-up.

Skills: Data Insights, User Analysis, KPI Dashboards, Ad-hoc Analysis, Success Metrics, Cross-functional Collaboration, Data Acquisition, Documentation Skills

• Working with the company to translate client and customer requirements to quantifiable metrics.
• Supporting the timely delivery of client and internal reporting and NHS data uploads.
• Updating and ensuring data quality of internal and external dashboards.
• Supporting business development reporting requirements.
• Testing data warehouse updates alongside data engineers.
• Working with data engineers and R&D to incorporate new/changing datasets and measures.
• Maintaining an understanding of IAPT KPIs and reporting requirements.
• Writing and maintaining Looker reports.
• Writing and maintaining SQL scripts.
• Engineering support/cloud ops for the reporting team.
• Investigating data issues.
• Responding to internal data requests from across the business and creating Looker dashboards to meet needs.

Skills: Requirements Translation, Data Reporting, Dashboard Management, Business Support, Data Testing, KPI Knowledge, SQL Scripting, Cloud Operations

• Acquire data from various data sources and combine & transform data into interpretable datasets, reports or dashboards
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Extend the company’s data with third-party sources of information
• Process, cleanse and verify the integrity of data used for analysis
• Perform data profiling of the data contained in source systems
• Provide a detailed analysis of all data implemented into the database
• Provide the data mapping and associated transformation rules for each data item
• Ensure that the business requirements and subsequent development activities are supported by accurate information.
• Interpret data, analyse results using analytical techniques and provide reports and/or dashboards
• Identify, analyse, and interpret trends or patterns in complex data sets
• Use data to answer key questions about the business.
• Support and maintain the project data models at multiple levels of detail and functionality (conceptual, logical, normalised, relational, dimensional, application level, subject-level, integrated, etc.)
• Assist Data Modelers in drawing up detailed data models.

Skills: Data Acquisition, Data Assessment, Data Integration, Data Cleansing, Data Profiling, Data Mapping, Trend Analysis, Data Modeling

• Act as an internal champion and resource with respect to the database and technology tools available to staff, building buy-in for efficient use of those tools, and identifying creative ways to help staff do jobs more effectively using relevant technology.
• Provide basic technology support and training to staff and develop and deliver training
• Run and perform quality assurance for monthly reports submitted to a variety of public and private funders
• Assist in management and troubleshooting for programs using in-house (Excel and/or Access) database systems
• Assist in the transition of new programs to using ETO, including workflow design, development of custom data entry and assessment tools, and report writing
• Supervise data entry staff and interns/national service volunteers
• Support and maintain the use of databases and IT systems required by funders (especially ASISTS for adult education programming), including supervising data entry, reviewing data reports, and troubleshooting
• Design custom data collection methods and reporting structures in collaboration with program management
• Synthesize and summarize data for funding reports and internal use
• Become fully competent in the use of Efforts to Outcomes (ETO), the primary client service database and reporting system used by many of LFHC's community-based programs, including standard and custom features

Skills: Technology Support, Staff Training, Quality Assurance, Database Management, Workflow Design, Data Supervision, Report Writing, Data Synthesis

• Accountable for scoping and building chemical structure and property analysis workflows that maximize impact for Encoded Library Technology data
• Prepare specialized visualizations of ELT data for team members, enabling downstream decision-making for the Post-selection Chemistry group.
• Contribute to the exploration of new analysis methodologies as they apply to Encoded Library Technology and/or small molecule discovery associated data
• Contribute to documentation and training materials as part of full lifecycle management to ensure embedding in the scientific organization
• Improve the current hit identification processing scripts
• Designing the new tables and creating constraints
• Working on the tender submissions
• Support the finance department in the reconciliation and provision related to the bill system
• Preparing incentives for Operations and reconciling the same with the finance data
• Work directly with management and other business users to gather requirements, provide status updates, and build relationships
• Present information using data visualisation techniques
• Facilitate requirements gathering workshops with the business
• Collaborate with internal and external stakeholders to analyse information needs, functional requirements and business processes

Skills: Workflow Design, Data Visualization, Methodology Development, Documentation Skills, Script Improvement, Database Design, Stakeholder Collaboration, Requirements Gathering

• Support the operational execution and the overall quality output required by RM data clients.
• Work with the Project and Development departments to ensure the successful delivery of customer-requested changes to the products and services.
• Assist colleagues in managing the process for clarifying scope and details of requirements with clients.
• Identify, document and execute effective means to quality assure data from receipt through to final output.
• Identify and mitigate technical risk.
• Support new business development by ensuring delivery of the appropriate data outputs to the required quality for new or pilot projects.
• Hold knowledge of the educational data landscape along with some expertise in data and statistical analysis.
• Have an understanding of the educational data that relates to the sectors in which RM operates.
• Create and maintain Tableau dashboards for Fthe inance and Sales teams, providing performance and trend data in a meaningful, actionable way for end-users
• Database management and ad-hoc reporting by various business units
• Responsible for business analytics work through all phases, including data quality, data analysis, and data visualization
• Work on reporting automation and identify key areas to call out in order to increase team efficiency

Skills: Quality Assurance, Project Support, Requirement Analysis, Risk Mitigation, Data Analysis, Tableau Dashboards, Database Management, Reporting Automation

• Assembling workforce and other operational data sets to perform comparative and predictive analyses of workforce and human capital activities and issues, using a variety of tools and techniques, e.g. statistical analysis, modeling, data mining, data storage, data automation, and data visualization.
• Maintaining and developing data analytics tools such as and platforms (Tableau/Power BI/Excel, etc), to include user training, data integrity audits.
• Creating periodic dashboards and visualizations to be used at various levels of the organization, working collaboratively with HRIS and HC Operations to gather and reconstruct data.
• Leading and/or participating in the implementation of methods and procedures that will increase the efficiency and accuracy of data analytic platforms, data structures, and data assets.
• Working directly with staff to identify analytical requirements. 
• Advising on functional capabilities of data analytic platforms, appropriate data structures and models, data preparation, and data source connection issues.
• Creating user documentation and training materials and training end users. 
• Troubleshooting user problems and implementing solutions.
• Navigate the decision-making with business teams by deriving critical business insights from unstructured data for game operations and marketing initiatives
• Design tailored end-to-end data solutions for different game genres across different markets, including but not limited to dashboard design and implementation, event data tracking design, data modeling, and performance evaluation reports
• Identify root causes of business problems through monitoring and analyzing game performance data
• Propose recommendations and execute them with cross-functional teams

Skills: Data Analysis, Dashboard Development, Data Visualization, Data Modeling, User Training, Problem Troubleshooting, Business Insights, Cross-functional Collaboration

• Create, measure, and document KPIs relevant to business needs and internal teams.
• Act as the main liaison between departments to ensure data accuracy and uniform understanding of key metrics, escalating issues to the development or implementation teams.
• Evaluate and respond to questions from development, marketing, and sales teams to assist with short- and long-term decision-making.
• Study and visualize data to uncover trends and opportunities related to how users are interacting with products.
• Maintain analytics systems including checking for completeness, accuracy, and understandable lexicon, then oversee the implementation of any new data points or sources.
• Make informed predictions about user behavior, assess and validate with A/B tests, and recommend changes based on findings.
• Create and maintain automated dashboards for non-technical users to promote self-service for common questions.
• Create marketing performance dashboards and review key metrics and findings with leadership and marketing teams.
• Centralize marketing, measurement, reporting and recommend performance optimizations.
• Work with the information systems analyst to perform regular reviews of live systems and ensure that they are meeting stated goals.
• Work closely with the development teams to understand and anticipate analytics needs.

Skills: KPI Management, Cross-team Liaison, Data Evaluation, Trend Visualization, Analytics Maintenance, Predictive Analysis, Dashboard Automation, Marketing Analytics

• Formulate and define processes with a good understanding of business requirements
• Consider business impact, value of data and information management processes
• Leverage data domain experience and best practices to bring creative solutions to complex problems
• Contribute to process improvements during all phases of the effort
• Develop solutions to a variety of problems with limited to moderate scope and complexity, following established policies and procedures
• Investigate and resolve data incidents in a timely manner.
• Monitor and improve data quality by initiating corrective actions identified through performing root cause analysis.
• Ensure adherence to data policies and processes and continued enforcement to include areas such as workflow for data ingestion, data quality, master data and data life cycle management.
• Identify areas where data can be used to improve business activities, defining business users' requirements.
• Work closely with Data Engineers to create and maintain cross-system interrelationship design and documentation
• Facilitate target system data migration requirements gathering from process areas and data governance.
• Collaborate with business and technical subject matter experts to identify, analyze and document data migration transformation rules from legacy source systems.
• Support data cleansing rules for legacy source systems as part of data migration efforts.
• Facilitate, support and train business subject matter experts on data migration validation procedures to meet the target system design.

Skills: Process Definition, Data Management, Problem Solving, Data Incident Resolution, Root Cause Analysis, Policy Enforcement, Data Migration, Business Collaboration

• Collaborate with internal stakeholders during data discovery to identify gaps
• Author and maintain dashboards via Mastery’s chosen front-end application to support internal stakeholders with clients through all phases of the customer relationship process including engagement, onboarding, implementation, support, & success
• Troubleshoot root causes for discrepancies to work towards data consistency
• Perform ad hoc analysis as part of the Customer Success model as Mastermind issues arise
• Educate and train internal stakeholders as well as clients on how to use self-service reporting tools to deliver insights into daily business operations
• Manage day-to-day tasks and communication with internal and external stakeholders on outstanding data defects and requests
• Translate client reporting needs into requirements, submit requests on behalf and work with the product to prioritize all client data requests to ensure we are meeting deadlines and staying aligned with Mastery’s product offering
• Manage customer success through relationship building, data expertise, and problem solving
• Maintaining the price model and managing and maintaining data inputs in a timely manner and providing assistance in resolving data quality issues
• Creating, maintaining and improving business dashboards and reporting for pricing
• Supporting Pricing Managers & Pricing Director by implementing and deploying reporting and analysis solutions, generating data insights and providing end-user training
• Supporting continuous improvement and expansion of the price model globally

Skills: Data Collaboration, Dashboard Management, Root Cause Analysis, Ad hoc Analysis, Stakeholder Training, Client Communication, Reporting Translation, Pricing Support

• Serve as a data mining, visualization, and analysis expert reporting to the Senior Manager of Acquisition Pricing
• Conduct extensive forecasting, financial modeling, and performance analysis around the effectiveness of acquisition offer pricing changes and tests
• Utilize a variety of data mining and visualization tools, including but not limited to Tableau, MicroStrategy, ThoughtSpot, and SQL
• Identify patterns, correlations, and trends to develop, visualize, and present a data story with actionable insights
• Represent Acquisition Pricing in various cross-functional work-streams and ad-hoc projects
• Challenge the norm, bringing new ways of working to improve the development and execution of data for technical and non-technical audiences
• Translate the business needs from stakeholders into data requirements
• Collaborate with a network of internal data teams including IT, Global Connectivity and NPD, to develop digital reporting capability including reporting tools & resources, sharing best practices and escalating risks & issues when they arise
• Enhance science story with content that impacts owners with pioneering visual formats to underpin insights that matter
• Delivering the data in a useful and appealing way to all levels, from peers to VPs

Skills: Data Mining, Financial Modeling, Data Visualization, Pattern Recognition, Cross-functional Collaboration, Business Translation, Digital Reporting, Insight Communication

• Understanding of machine learning and other modeling techniques
• Experience working with large data sets, geospatial data
• Strong knowledge of R, Python and SQL, particularly Postgres and PostGIS
• Experience with data visualization tools
• Familiarity with AWS services such as Kinesis, S3, EC2, RDS, and Redshift
• Ability to quickly understand new technologies and data environments
• Experience with a Unix-based operating system
• Strong written and verbal communication skills.
• Ability to summarize key findings into clear and actionable recommendations, and to interact with individuals at all levels.
• Strong project management skills and ability to plan and prioritize work in a fast-paced environment.
• Sense of urgency and an ability to multitask

Qualifications: BS in Computer Science with 4 years of Experience

• Experience performing data analysis
• Experience in producing data dictionary content
• Experience working with data tools such as SQL, R, Python, SAS, and Tableau
• Experience with data profiling
• Ability to analyze large datasets
• Ability to create comprehensive reports
• Experience documenting/presenting data analysis findings
• Strong verbal/written communication and analytical skills
• Experience and working knowledge of data in a healthcare data management environment

Qualifications: BA in Economics with 3 years of Experience

• Experience in using SQL to process large data sets (e.g. BigQuery)
• Experience using Tableau or similar visualization tools
• Experience using advanced functions in Google Sheets or Excel
• Exceptional analytical, problem-solving, and strategic decision-making skills
• Strong cross-functional teamwork experience
• Excellent written and verbal English communication skills
• Proficiency with statistics/programming languages (e.g., R, Python)
• Experience as a marketing or growth data analyst.
• Experience with both consumer and advertising technologies
• In-depth knowledge of inferential statistics and experimental design and analyses
• Ability to teach a masterclass in query writing and data visualization, with an emphasis on choosing the best approach and tools for the job

Qualifications: BS in Statistics with 4 years of Experience

• Advanced Excel proficiency to include Pivot tables
• SQL competency in writing and reading queries and advanced stored procedures.
• Experience and statistical analysis using Business Intelligence and Reporting tools such as MS Power BI Report Server, Tableau, or other Data Visualization Tools
• Knowledge/experience with SSIS and MS Reporting Services
• Experience with data warehouse, mart, lake or other high volume OLAP topologies
• Experience with advanced data analysis tools including Data Pipeline, Machine Learning, Data Lake and Data Factories
• Experience in statistical analysis, leveraging statistical packages including Excel, Power BI and Tableau
• Experience with database and model design and segmentation techniques
• Database systems experience with current versions of MS SQL Server

Qualifications: BA in Business Administration with 5 years of Experience

• Technical expertise regarding data models, database design, development, and data mining
• Strong knowledge of and experience with data visualization tools such as Excel, PowerBI, Looker, Tableau, etc.
• Familiar with SQL databases and programming or ETL frameworks
• Experience implementing analytics or BI software products
• Familiarity with advanced analytics platforms like R, SAS, and Spark
• Proficient in the Agile System Development Life Cycle (SDLC)
• Ability to gather, understand and drive the resolution of projects from a cross-functional team
• Solid understanding of the analytics design patterns
• Experience working in a Construction, Telecom or Utility Services company
• Experience working with large fleet telematics data

Qualifications: BS in Mathematics with 6 years of Experience

• Experience of working in a numerical, analytical and problem-solving role in a product or service-related industry.
• Experience with or commitment to learn one or more coding languages (e.g. Python, R, Hive/Impala, SQL) to extract, manipulate and summarise data from large databases.
• Practical database skills with a focus on data extraction and transformation into actionable insights.
• Excellent planning, organisation and project management skills.
• Ability to communicate clearly and confidently, at all levels of the organisation, in oral and written forms.
• Strong interpersonal skills and ability to build and maintain relationships with internal stakeholders.
• Strong influencing, negotiation and consultative skills.
• Willingness to learn and keep up to date on the latest developments in data analytics and visualisation.
• Knowledge of statistical techniques including time series analysis, multivariate analysis and forecasting. 
• Understanding of mathematical optimization and its applications.
• Good understanding of formal process improvement methodologies like Six Sigma, Lean or similar.

Qualifications: BA in Psychology with 4 years of Experience

• Demonstrated problem-solving skills and analytical skills
• Ability to work productively and efficiently in an independent setting
• Ability to clearly communicate with managers and associates at all levels
• Excellent attention to detail and work with the highest level of accuracy
• Initiative to develop tools, data collection processes, and data management systems
• Excellent communication and presentation skills
• Ability to visualise and interpret complex data sets
• Familiarity with common tools such as Google Analytics/Amplitude and the ability to learn new tools quickly
• Experience using business intelligence tools (Tableau, PowerBI, Thoughtspot...)
• Experience designing and measuring A/B Tests
• Experience setting up ETL processes
• Fluent in using SQL

Qualifications: BS in Information Technology with 5 years of Experience

• Experience delivering data applications and complex data/analytics solutions. 
• Experience with consumer data, behavioral analytics, marketing attribution, app engagement or personalization data products
• Extensive experience with open source and Cloud (AWS) technology solutions. 
• Experience with large-scale data applications using big-data solutions such as Hadoop, Hive, Snowflake, Apache Spark, JSON, Parquet, Avro, Splunk, Tableau, Scala, Python
• Advanced SQL, BI and presentation skills and practiced analytical programming languages and experience in adapting to new and innovative languages
• Strong grip on data modeling, analytical algorithms (including forecasting and modeling)
• Ability to cleanse, curate and manipulate data as well as visualize and tell stories about the results of an analysis
• Clear communication and storytelling via presentations, key performance metrics, reports and data
• Demonstrated experience and ability to deliver results on multiple projects in a fast-paced agile environment

Qualifications: BA in Sociology with 6 years of Experience

• Strong technical background in Informatica MDM implementation projects.
• Experience in Hub console configuration, E360/IDD setup for User Interface.
• Understanding and practical exposure on Informatica Data Quality (IDQ) for profiling, Consolidation, Standardization, Transformation and being knowledgeable on ETL capabilities using IDQ.
• Experience on ActiveVos configuration, tasks and process setup, SMTP configuration for email notification.
• Having exposure to Cloud MDM and AWS S3 concepts
• Experience with Collibra Data Governance
• Experience with Informatica MDM Hub Console, Informatica Data Quality (IDQ), IDD/Entity 360, ActiveVos, Oracle, SQL
• Strong understanding of procurement data lifecycle (generation through end use)
• Experience executing defined data governance models.
• Experience in MDM, BI, SAP, A high level of mathematical ability & Programming languages,Oracle and Python, big data tools including Hadoop, Spark, Kafka, relational SQL and NoSQL databases, including Postgres and Cassandra,
• Experience working with data in the procurement domain

Qualifications: BS in Data Science with 5 years of Experience

• Experience in Web analytics (Adobe Analytics or Google Analytics)
• Experience in at least 1 of Digital media performance and attribution analysis (Google Adwords / Double Click / Facebook AD / CRM campaign)
• Experience or collaboration on Analytics code tagging and auditing (Google Tag Manager, FB Pixel, GG UTM Tag, etc.)
• In-depth analysis by using a running SQL query on the raw data access
• Dashboard tools running like Google Studio, Dataroma, etc.
• Basic coding skills to automate the data processing like Python
• Data import & export based on JavaScript
• Competitor analytics like Similarweb, Alexarank, App Annie
• FB/GG audience insight tools (Google keyword planner, Display planner, FB audience insight)
• CRM data analytics like Salesforce, SAP Hybris

Qualifications: BA in Marketing with 4 years of Experience

• Proven working experience as a data analyst or business data analyst
• Technical expertise regarding data models and database design development
• Strong knowledge of and experience with SQL. 
• Experience with workflow management platforms such as Airflow and reporting tools (Tableau, ThoughtSpot or QlikView,...)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong reporting skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Ability to fail fast and learn from those mistakes
• Effective at exploring large and/or complex data sources, with the ability to visualize the data journey towards delivering the solution
• Ability to communicate effectively, respectfully, and with confidence with executives and staff in business and technology using the appropriate language

Qualifications: BS in Engineering with 6 years of Experience

• Ability to think strategically (big picture perspective, consider both the player experience and the business needs) combined with a hands-on, execution-oriented attitude
• Experience in analytics requirements gathering, solution design and implementation
• Experience in the area of user intelligence/behavior, event tagging/tracking
• Knowledge of statistics and statistical models, such as linear/logistic regression, clustering and factor analyses
• Expert knowledge of SQL, Excel, and data visualization tools like Tableau
• Communication skills to articulate complex quantitative analyses in a way that a broad game team can understand
• Ability to proactively seek clarification of requirements and direction
• Ability to creatively solve problems, deal with ambiguity and a changing environment
• Ability to meet concurrent, rigorous deadlines in a fast-paced environment
• Strong interpersonal skills, able to work effectively in a project team
• Excellent written and verbal communication skills, must be able to communicate complex technical issues to all stakeholders, including those who do not have a technical background

Qualifications: BA in Communication with 7 years of Experience

• Proficient in data modeling for both transactional and dimensional data warehouse databases
• Proficient in the creation of ETL mappings including mapping of tables, files, XML schemas, etc., from source to target
• Experience with a standard data modeling toolset, working knowledge of ER/Studio
• Data mining skills (including data auditing, aggregation validation and reconciliation)
• Strong ability to work with SQL databases including working SQL knowledge of SQL Server and/or Netezza DBMS
• Data Analysis experience with data profiling and data validation.
• Data Quality understanding of DQ concepts and familiarity with DQ tools and methods.
• Ability to communicate with customers to obtain data requirements and perform data analysis on the data provided
• Knowledge of Hadoop Platform and data components like Hive, HBase, or Impala
• Knowledge of real-time analytics and BI platforms such as Tableau
• Strong oral and written communication and presentation skills
• Ability to communicate complex findings and ideas in plain language
• Ability to work with teams towards a shared goal
• Ability to change direction quickly based on data analysis

Qualifications: BS in Physics with 4 years of Experience

• Basic knowledge and demonstrated experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software.
• Ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases.
• Strong listening, verbal and written communication skills.
• Ability to manage multiple activities in a deadline-oriented environment, highly organized, flexible and rigorous attention to detail.
• Ability to use logic to calculate data and efficiently construct a database or scrutinize the form of a question.
• Ability to work with data of varying levels of quality and validity.
• Demonstrated ability to produce data in a clear and understandable manner meeting user requirements.
• Ability to work effectively with multiple internal and external customers.
• Experience in running different eCommerce analytics
• Analytical mind and business acumen with the ability to work with large amounts of data to discover patterns and trends and to form conclusions based on findings
• Excellent analytical skills, independent thinking, data-oriented, and knowledge of analytics tools required including Excel (advanced proficiency), SQL, Tableau, Python, or R
• Experience in collaboratively influencing stakeholders

Qualifications: BA in Geography with 5 years of Experience

• Strong commercial experience querying, analysing and providing insights from large datasets (100 TB+), preferably in online/tech industry
• Experience with Advanced SQL including analytic functions, performance tuning, and data wrangling
• Experience with Python including pandas, scikit-learn, statsmodels, IPython/Jupyter
• Experience with Data Visualisation including D3.js, matplotlib, seaborn, plotly, ggplot (any of the above)
• Experience in A/B testing analysis including significance analysis, non-parametric methods, and bootstrapping
• Ability to engage well with other parts of the business such as developers, product managers and senior management
• Experience in presenting findings to varying audiences (technical and non-technical stakeholders) and catering presentation style appropriately
• Good presentation, communication, and visualisation skills
• Familiarity with GSuite and business intelligence tools such as Google Data Studio or Tableau

Qualifications: BS in Finance with 4 years of Experience