DATA ANALYTICS JOB DESCRIPTION

Data Analyst Duties:

• Validate SKUs for compliance in ServiceNow
• Deliver metrics, reporting platforms, dashboards, and analytical models vital for tracking and managing the business
• Identify business challenges and initiate process improvement projects
• Facilitate the computerization of analytics and data collection processes
• Provide analyses for large datasets necessary for decisions using actionable insights
• Collaborate with Marketing, Sales, Engineering, Operations, etc. to build scalable processes and metrics
• Complete complex analysis of datasets and conduct appropriate data validation
• Gather and clean datasets across multiple data sources
• Spot vital insights and develop the framework of the organization’s data system
• Provide information on analytic results to business and functional leaders using visualizations to communicate data and metrics, including data maps, leveraging excel, ServiceNow and power BI
• Define vital people data performance indicators

Data Analyst Skills and Experience:

• Associate Degree and relevant experience, Industrial Engineering, Data Science, or similar fields
• Advanced data analysis skills for large sets of data with a stated end goal
• Experience in supporting technology platforms, understanding the issue then communicating resolution required to software developers
• Experience with compliance or regulatory programs is required
• Excellent written and verbal communication skills
• Excellent attention to detail and organization with the ability to prioritize effectively
• Proven success implementing plans and taking ownership of assignments to achieve goals
• Highly proactive and functional in a dynamic environment
• Proactive approach to learning new concepts and utilizing resources when encountering new concepts or program requirements
• Displays well developed analytical, critical thinking, and problem-solving skills
• Great people skills and the ability to be personable and professional
• ServiceNow Experience a plus

Data Analytics Associate Details:

• Write code in Stata, R, or SAS to extract, transform, and clean data and construct variables for analysis
• Conduct exploratory data analyses and diagnostics and communicate findings and recommendations to the research team
• Perform descriptive and inferential analysis of data
• Prepare tables, graphs and other data visualizations to present results
• Assist with data management and analysis of federal, state, and local information systems
• Perform software quality assurance and testing, including the development of testing tools using a variety of technologies including Microsoft Office, SQL, Python, R, and SAS among others
• Assist in the definition, specification, and documentation of data and security requirements
• Assist with literature reviews, proposal and report writing
• Conduct site visits and/or interviews with organizations and study participants
• Track financial progress of projects and prepare monthly project assessment memos

Data Analytics Associate Requirements:

• Strong educational background and a B.A./B.S. in relevant field (economics, public policy, data science, computer science, statistics, mathematics, or another relevant field)
• 0-2 years of programming experience in a work or academic environment using Stata, R, Python, SAS or a similar language Demonstrated interest in programming, data analysis, data management, and/or program operations through relevant job or academic experience
• Preferred but not required skills include data visualization experience (D3.js, Tableau, R Shiny), JavaScript, GIS experience (ArcGIS, QGis), web development experience, SQL, and NoSQL.

Data Analytics Developer Responsibilities:

• Working with large secondary data sources such as Medicare and Medicaid administrative claims data and survey data to effectively answer research questions about health care policy
• Interpreting requirements and specifications to develop performance measures based on cost and quality of care for evaluating the effectiveness of numerous health care policies
• Articulating findings and working with researchers to adjust specifications and code as interim results are found
• Evaluating the potential of creative ideas for service delivery and payment models to improve the health outcomes and well-being of patients, and to reduce spending for Medicare, Medicaid, and other payers
• Mentor programmers and lead small programming teams

Data Analytics Developer Experience and Qualifications:

• A bachelor’s or master’s degree with a strong academic record in economics, mathematics, statistics, public health, public administration, public policy, sociology, political science, or a related field
• 1-5 years of programming experience in a professional or academic environment
• Experience working with administrative healthcare data (e.g. commercial claims, hospital claims, and Medicare or Medicaid data), healthcare informatics, or healthcare claims processing.
• Ability to describe technical problems and solutions to a non-technical audience
• Strong organizational and communication skills, and the ability to work with others.
• Programming experience using SAS, Stata, R, SQL, or a similar language

Application, Data & Analytics Engineer Roles:

• Lead technical projects;
• Influence V-P and Manager on the strategic positioning of the group;
• Help customers on the technical strategic road map;
• Participate in the evolution of integration product lines to meet the new concepts of Industry 4.0;
• Implement data historian software, advanced analytics, predictive maintenance, asset management, industrial software and customized solutions for customers;
• Design modern systems that integrate with all automation solutions including equipment connectivity (IIoT), control systems (PLC, DCS), supervision (SCADA), manufacturing operations management (MES, MOM) and other business applications (ERP);
• Implement dynamic visualization tools and interactive dashboards with data related to control, industrial computing, processes and operational efficiency.
• Participate in the full lifecycle of solutions, from defining customer requirements to go-live and continuous development of systems.
• Mastering architecture and systems integration concepts, databases and computer networks to deliver integrated solutions to customers;
• Be available to travel to participate in the start-up of our customers' applications or production lines;
• As an expert in your field, you will advise on best practices and innovative solutions to meet customer requirements and support them in their digital transformation.

Application, Data & Analytics Engineer Experience and Requirements:

• Bachelor of Automated Production Engineering, Software Engineering, Electrical
• 10 to 15 years of experience;
• Strong real-time data engineering and advanced analytics skills;
• Excellent mastery of the OSIsoft PI system, architecture and administration of its various components: Data Archive, Interfaces, Asset Framework, Analysis, Event Frame, Notifications, PI Vision, PI Integrator, Cloud Services, etc.
• Knowledge of other data historians Azure IoT, Aspentech IP21, CanaryLab, Iconics, etc.;
• Experience and strong interest in manufacturing, industrial automation, and modern technologies for operational efficiency;
• Experience in industrial networking, TO cybersecurity, asset management, predictive maintenance or project management;
• Experience in the development of applications and software packages (Python, C, VB, .Net)
• Be a member in good standing with APEO;
• Know how to communicate effectively in an ever-changing environment;
• Ease to work on several projects simultaneously;
• Good software mastery of the Office suite (Excel, Word, Powerpoint, Outlook).

In Industry 4.0 environments, Data Job Description ensure efficient analytics integration and reliable operational decision-making.

Parking Feature Data Analytics Engineer Functions:

• Support sign-off of feature level performance via data exploration and analysis.
• Develop scripts, tools and algorithms to analyze ADAS feature test data.
• Use analytical tools to characterize performance, review vehicle logs, and triage issues.
• Work with feature owner to understand feature requirements and how to assess performance.
• Work closely with feature owner, developers, and suppliers to understand and analyze data files.
• Data mine scenarios to tag and organize stored data, and improve real time logging with automatic event detection and determine important field data in real time.
• Develop dashboards and reports for key feature performance metrics (KPIs).
• Provide insights into customer usage and feature data.
• Share performance analysis and test results with stakeholders.

Parking Feature Data Analytics Engineer Experience and Qualifications:

• Bachelor’s Degree in Electrical, Computer Science, Mechanical, System Engineering or related field
• 6+ months experience in data analytics, algorithm design, or software development
• Our Preferred Requirements
• Master’s degree in Electrical, Computer Science, Mechanical, System Engineering or related field
• Experience in ADAS systems or features or software
• Experience working with sensing and perception algorithms in the ADAS domain.
• Experience analyzing large engineering data sets generated from vehicle fleets.
• Experience developing reports and dashboards using Excel, Qlikview, Alteryx, or other modern business intelligence industry standard tools.
• Software engineering or algorithm development experience, Any development time in any language (Python, C, C++, Java, or Matlab m-script).
• Familiarity with CAN networks and tools (Vector tools, Vehicle Spy, ATI Vision, etc.).
• Familiarity with requirements engineering tools (Polarion, DOORS, etc.).
• Initiative, resilience, a strong work ethic and a desire for continuous learning
• Must be skilled at working in large team environments and interfacing with technical experts

Data Analytics Intern Roles:

• Support the overall work of Data Analytics team in Group Digital Factory, involving project work and operation
• Lead status meetings and oversee the day-to-day operations of our change management and data quality workstreams
• Present prioritization questions directly to Data Lake Product Owner in case decision is needed, and escalate any issues
• Participate in process and service improvement initiatives related to onboarding, delivery, reporting, etc.
• Keep in contact with business responsibles from various markets, monitor manual data sources
• Prepare management and internal decision-making materials if needed

Data Analytics Intern Experience and Knowledge:

• Ongoing studies in economics / management / IT (at BSc or MSc level)
• Availability to work at least 20 hours a week, for at least one year with flexible schedule
• Fluency in English
• Outstanding communication skills, ability to mediate effectively between stakeholders
• Interest in data analytics and ability to distill learnings and formulate conclusions from data
• Outstanding knowledge of Microsoft Office applications
• Ability to collaborate effectively with others across countries and work independently
• Experience in the field of data analytics or data visualization is an advantage
• Interest in digital technologies is an advantage
• Experience / knowledge in consumer services, consumer products or retail domain is an advantage

Data Analytics Lead Duties:

• Maintain and build ETL pipelines between SaaS tools and the data warehouse. This could include Salesforce, Marketo, Intercom, NetSuite, Recurly, and backend entitlement data. In particular, making sure business teams have access to data they can action upon in their respective tooling to grow the business or to message our customers
• Maintain and scale a cloud data warehouse that can be connected to a business intelligence tool. This may mean using the current tool that we have (metabase) or evaluating new tools. This could also mean redesigning the way data is stored in our backend systems
• Build a tool that will allow people across the company to have access to data while fulfilling customer compliance obligations that will scale with the company growth
• Create automated cohort analysis and revenue bridges to monitor acquisition, expansion, and churn
• Help evaluate and develop and build automated tracking of KPIs across the business as well develop in depth reports and dashboards for individual groups across the organization
• Evaluate ways to increase the efficiency of internal data flows and centralize sources of truth
• Derive actionable insight from the data including working with sales teams, customer success, and others to build reports to both acquire and retain customers
• Collaborate cross functionally particularly with the engineering team, product teams, sales, and marketing teams.

Data Analytics Lead Experience and Qualifications:

• 8+ years of professional experience, and 5+ years in analytics, business intelligence, data science or comparable fields preferred
• Skilled at querying relational databases (SQL) and ability to pull data from various sources
• Proficiency with at least one analytics language such as Python, R
• In-depth experience with web analytics tools and analyzing online customer behavior
• Familiarity with the Google Cloud Platform is preferred as our infrastructure is hosted on Google Cloud.
• Strong critical thinking skills and attention to detail
• Strong interpersonal and communication skills. Must be able to explain technical concepts and analysis implications clearly to a wide audience, including senior executives, and be able to translate business objectives into actionable analyses
• Knowledge of database systems and data pipelines
• Passionate about understanding customers and their behavior
• Experience using business intelligence tools such as Tableau, Looker, etc to develop and enhance dashboards and reports preferred

Data Analytics Manager Responsibilities:

• Build and develop a world class team leveraging a strong foundation already in place
• Support requirements capture, design and technical implementation of initiatives related to Data Analytics
• Manage capacity, priorities, and performance for a team of Data Engineers, Business Intelligence Engineers, and Data Scientists
• Develop solutions in collaboration with customers and platform architects to support customer needs.
• Actively engage with customers and stakeholders to ensure services are delivered to meet or exceed expectations in a highly complex and dynamic environment
• Develop vision and execution strategy for data and analytics
• Provide resources to make data and analytics staff more successful
• Establish best practices for data and analytics execution
• Develop data and analytics talent pipeline
• Advise leadership team on data and analytics value, opportunities, and strategy
• Build a culture around data sharing, information governance, and analytic literacy

Data Analytics Manager Experience and Requirements:

• Bachelor's Degree in Statistics, Engineering or related field and 8 years of experience.
• Active Secret clearance adjudicated within the last 5 years with the ability to obtain SAP.
• 3 years in a formal management position to include performance reviews for direct reports.
• 3 years of experience in Data management, Data Engineering, or Data Science
• Understanding of backend data pipelines
• Understanding of data visualization and exploitation
• Passion for being at the leading edge of Technology with hands-on software development or Analytics experience
• Significant experience with data analytics and data science tools and techniques
• Excellent written and verbal communication skills for varied audiences on analytical subject matter
• Experience in business process improvement methodologies, tools, and techniques
• Significant experience in identifying and driving operational/organizational change and excellence
• Proven people management experience leading an organization
• Demonstrated experience leading positive change, empowering people, cultivating product/technology visions and innovative solutions, and fostering effective engineering teams
• Demonstrated ability to transform business requirements to specific analytical tools
• Experience with Agile development and methodologies and SaaS technologies
• Master's degree in a STEM or other relevant project management field
• Experience with concepts such as: Data Catalog, Data Warehouse, Common Data Model, Data Architecture
• Experience with SSIS, Denodo, Alteryx, Tableau, Power BI and Cloud Analytics Services in AWS/Azure.
• Experience with predictive modeling and artificial intelligence
• Northrop Grumman cybersecurity standards and practices
• Excellent interpersonal and communication skills (written, oral, and presentation).
• Understanding of Northrop Grumman policy, process, and products.
• Proven ability to lead, motivate, and inspire a diverse team.
• Ability to make decisions with minimal support.

Senior Data Analyst Details:

• Develop, maintain, and manage advanced reporting, analytics dashboards and other BI solutions. Design and develop solutions using Tableau dashboards (Web & Mobile) using Oracle/ Sybase / Big Data as backend technologies.
• Deliver analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan.
• Must be highly skilled in performing and documenting data analysis, data validation, and data mapping/design. Mine and analyzes data from various banking platforms to drive optimization and improve data quality.
• Fine tune SQL Queries for maximum efficiency and performance. Conduct unit tests and develop database queries to analyze the defects and troubleshoot any issues.
• Identify data patterns and trends to champion adoption and usage of risk analytics capabilities, by providing insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
• Review and improve existing systems by collaborating with various teams and integrate new systems as required.
• Manage Tableau Server and Administration on Linux Server including Tableau server upgrade/installation.
• Find the key areas of automation to make the business processes smooth.

Senior Data Analyst Knowledge and Experience:

• 8+ years of experience in enterprise BI development, preferably from a consulting background. Strong background in designing and implementing enterprise scale solutions.
• 5+ years of hand on experience with Tableau Desktop (dashboard creation, report authoring and troubleshooting, data source management). Prefer Tableau Data Analyst Certification.
• Strong experience in data mart / data warehouse design. Experience in relational databases Oracle, Sybase, MongoDB experience in managing unstructured data.
• Must be highly skilled in performing and documenting data analysis, data validation, and data mapping/design.
• Experience in managing and implementing multiple projects simultaneously. Working knowledge of project management techniques/methods
• Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements. Strong Analytical and communication skills.
• Analytics using BigData, Python or R is a plus
• 3+ years of experience in finance, Risk and Regulatory Reporting. Strong knowledge of credit risk concepts
• Knowledge and hands-on experience with TabPy and Data Management add on is Plus.
• Experience working within an Agile development methodology is a plus.

Data Analytics Specialist Responsibilities:

• Gather, clean, understand, organize databases, and perform analysis conducting to produce reporting related to OPEX and local revenue efficiency.
• Develop Cost studies on historical data and create forecasting models of OPEX and Local Revenue. Those studies could be Excel, access reports or Qlik Sense dashboards.
• Generated periodical reports and update automated reporting to be available to Cost control, other teams and top management.
• Present insights and recommendations to top management based on in depth operational and financial analysis.
• Implement and promote improvements of current reports developing analytics and data visualization tools and suggesting alternative sources of information.
• Record, monitor and validate estimations and monthly achievements of OPEX reduction initiatives and additional local revenue
• Support and engage in a team mindset of high performance, participate in permanent improvement actions and support a team culture of innovation.
• Miscellaneous related duties or projects as assigned.

Data Analytics Specialist Skills, Abilities and Experience:

• Bachelor's Degree and 2-4 years experience
• Ability to apply advanced analytical tools, such as regression, correlation, statistics analysis, and prediction techniques.
• Ability to work with large amounts of data
• Proficient computer skills to include all Microsoft applications (MS Excel, MS Outlook, MS Word). Advanced skill with Qlik Sense, Power BI or another similar business analytics software preferred
• Working knowledge of business analytics
• Advanced skills in data management
• Ability to apply critical thinking to complex situations
• Demonstrated ability to communicate orally and in writing with strong presentation skills
• Advanced problem solving and analytical skills
• Proven ability to work in team environment
• Accepts responsibility and accountability with focus on results
• Ability to monitor and manage priorities and work on multiple tasks concurrently
• Master's degree preferred.