Data Analyst, Senior Job Description (2023)

Data Analyst, SeniorJob Description

Conduct analysis and research to drive business value

Design and develop sustainable processes to continuously augment the data infrastructure environment with an emphasis on data quality

Innovate to challenge the status quo and create new analytical techniques

Develop standardized tools to deliver process efficiency and quality

Aid in new data acquisition and explorations

Collaborate with other internal departments on cross functional projects

Perform data extraction, aggregation, and quality checking from multiple big data sources to create and monitor tests and programs

Use the newest and most relevant technologies to provide the primary reporting interfaces for Business Partners and Executive Leadership

Perform data mining and data analysis activities to explore big data that will identify and drive new strategies

Partner with statistician teams during the formulation, implementation, testing and validation of predictive models

Interpret vendor-provided data (IDC, Bloomberg) all manner of official documentation related to security issuance and subsequent actions ( including term sheets, official statements (OS), escrow agreements, filings, call notices, and DTCC notifications) and relate to specific security descriptive data points to issue accuracy and completeness of security reference data

Develop specific areas of expertise within security reference data

Develop working knowledge of query and macro tools

Advanced working knowledge of MS Office, including Excel

Bachelor’s degree in a technical discipline such as Computer Science, Information Systems, Mathematics, Statistics, Engineering, Physics

Define, build and manage data dictionary

Our innovative and growing company is looking to fill the role of data analyst, senior. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.

Responsibilities for data analyst, senior

• 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

Qualifications for data analyst, senior

• 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

Our company is growing rapidly and is searching for experienced candidates for the position of data analyst, senior. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.

Responsibilities for data analyst, senior

• 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

Qualifications for data analyst, senior

• 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

Our growing company is looking to fill the role of data analyst, senior. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.

Responsibilities for data analyst, senior

• 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

Qualifications for data analyst, senior

• 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

Our innovative and growing company is looking for a data analyst, senior. To join our growing team, please review the list of responsibilities and qualifications.

Responsibilities for data analyst, senior

• 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

Qualifications for data analyst, senior

• 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

Our company is looking for a data analyst, senior. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.

Responsibilities for data analyst, senior

• 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

Qualifications for data analyst, senior

• 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