Data Analyst, Senior Job Description
Data Analyst, Senior Duties & Responsibilities
To write an effective data analyst, senior job description, begin by listing detailed duties, responsibilities and expectations. We have included data analyst, senior job description templates that you can modify and use.
Sample responsibilities for this position include:
Data Analyst, Senior Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Analyst, Senior
List any licenses or certifications required by the position: CPA, ESRI, CISA, CIA, SAS, PMP, SQL, GISP, GIS, CFE
Education for Data Analyst, Senior
Typically a job would require a certain level of education.
Employers hiring for the data analyst, senior job most commonly would prefer for their future employee to have a relevant degree such as Master's and Bachelor's Degree in Statistics, Computer Science, Economics, Mathematics, Finance, Business, Engineering, Epidemiology, Education, Healthcare
Skills for Data Analyst, Senior
Desired skills for data analyst, senior include:
Desired experience for data analyst, senior includes:
Data Analyst, Senior Examples
Data Analyst, Senior Job Description
- Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
- Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
- Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
- Manage project lifecycle independently while ensuring timely implementation
- Conduct data analysis and reconciliation of HCP spend data to ensure data integrity
- Determine trends and exceptions Interface with various business system applications to support the capture, entry and validation of data to meet transparency reporting requirements
- Conduct system and report data validation and remediation, including maintenance of HCP master data within transparency reporting system and other source systems
- Analyze data to identify outliers, gaps, inaccuracies
- Monitor data and reports for potential data issues including duplicates, incorrect values, outliers and potential policy violations
- Provide technical assistance for data remediation and report preparation
- Must be passionate about deriving insights from data which can improve game performance – strong attention to detail and natural curiosity
- Enjoys a fast paced environment with opportunities to grow
- Ability to recommend changes to drive business objectives
- Ability to present data in a variety of formats to clients
- Strong presentation / story telling skills and the ability to communicate different types of audience (technical leads, senior level management and )
- Knowledge on database principles and SQL language
Data Analyst, Senior Job Description
- Develop and implement models to direct and refine targeting to achieve commercial objectives, acquisition, profitability and retention
- Ensure that appropriate outputs and recommendations are communicated effectively to key stakeholders across the business and enable the organisation to derive maximum benefit from this data and analysis
- Internal expert on the organisation’s data, segmentation, analysis and modelling to ensure the most appropriate and effective methods are used
- Review and combine outputs and insights from different sources, conferring with colleagues, to provide joined up insight and build the bigger picture to guide business decisions
- Running sophisticated measurement models to provide a causal sales lift for digital advertising campaigns, ensuring their accuracy and timeliness
- Conducting overviews of measurement methodologies and best practices to client audiences, establishing both subject matter and business credibility in the process
- Analyzes data and insights using spend analysis tool (an IT capability used to understand trends in spend by category, supplier, and division, and predict optimal pricing and supplier partnership options)
- Provides tool and data support to business users and fellow team members
- Support Category Managers (and teams) in ad-hoc data analysis in support of category strategy development and savings generation
- Apply data knowledge and critical/creative thinking skills to collect, transform, validate, and analyze data
- Teradata experience (Certification preferred)
- 2 years experience programming
- 3 to 5+ years of related analyst experience including but not limited to academia, consulting, financial services or information technology industries
- Report authoring experience with a major business reporting tool – Business Objects, Hyperion, Microsoft SSRS/SSAS, Cognos, MicroStrategy
- Ability to write and create advanced formulas using VLOOKUP, Arrays, Index and Match functions
- Demonstrable experience with Predictive Analytics, Econometrics, Forecasting, Segmentation, Cluster analysis traditional large-scale data warehouse driven analytics
Data Analyst, Senior Job Description
- Perform data quality control audits
- Lead and support efforts to integrate and transform data from multiple databases
- Lead and support efforts to build and automate data flows from source data warehouses and external data collection processes into external enterprise planning system platform
- Support automation of data connections into a prescriptive planning software platform, including designing required data integration/manipulation processes and queries
- Lead and participate in design of end-user applications (UI), including workflow, layout, and development of all required data flows, integration processes, and queries
- Manage all external data feeds
- Achieve mastery of the Altegra Health business applications used by clients
- Work with program managers to complete complex analytics and reports requested by clients
- Create and ensure quality of chart review and prospective chase lists as requested by clients
- Participate on client calls to explain the meaning and results of risk analytics
- 3+ years of Microsoft SQL Server (2005/2008), Transact-SQL, Stored Procedures, Server Analysis Services (SSAS)
- Business, digital/web strategy or consulting/data background (5+ years)
- Experience Adobe Analytics (Omniture) is an asset
- Strong working knowledge of Unix/Linux operating system
- Familiar with relational/NoSQL database systems such as TeraData and MongoDB
- Experience with Hadoop, MapReduce, Pig and Hive
Data Analyst, Senior Job Description
- Create and publish regularly scheduled and/or ad hoc reports as needed
- Document reporting requirements and process and validate data components as required
- Update Solstas LIS database in preparation for conversion to QSuite
- Interpreting data from multiple sources
- Developing programs and scripts for data transformation, integration, or reduction
- Enhancing previously developed in-house applications such as those for data coding
- And performing various types of analysis involving multiple data sets
- Engages with project sponsors and stakeholders to understand the business question
- Manage a portfolio of work to ensure timelines are met and clients are informed of progress
- Aid the analytical development of Reporting Analysts and Data Administrators through structured coaching and development sessions
- At least 1 year of experience in querying and analyzing and working with data languages and platforms
- BS Degree in Math, Engineering, Physics or Business Analytics
- Ideal candidates should have the ability to program in at least one language other than SQL
- This is a customer facing position
- Undergraduate degree in
- Familiarity with healthcare environment, health care related research and data management
Data Analyst, Senior Job Description
- Create a reliable forecasting models for the Direct to Consumer Mobile business across three separate mobile channels
- Own the forecasts for the Direct to Consumer Mobile business
- Lead process improvement, challenging the status quo, and provide thought leadership on best practices related to testing, optimization and reporting
- Become a trusted advisor in the areas of customer acquisition and retention strategy, web and/or mobile campaign management, and product instrumentation and new feature development
- Constant self starter and problem solver
- Communicates clearly and concisely with Sr Management
- Stays up to date on market trends and transactions
- Ability to work across and include new data systems of record into workload
- Identify and operationalize relevant and critical research questions central to the mission and vision of the district and carry out research projects that will yield actionable insights
- Compile, manipulate, and analyze data using appropriate statistical techniques
- Experience in business, finance, legal, data management, operations, compliance, regulatory, or a related field is preferred
- Experience working with data validation and reconciliation/remediation is highly preferred
- Advanced proficiency in Microsoft Excel is highly desired
- Proficient in designing/developing metrics and dashboards is a plus
- Experience using relational databases, queries, forms, and reports is preferred
- Understanding of Federal Open Payments (Sunshine Act), Health Care Provider relations and Grants is necessary