Senior Data Analyst

Job Summary
 

As a Senior Data Analyst for the Information Technology organization, you’ll be responsible for identifying, curating, publishing, and visualizing data in a way that is easily interpreted and understood.  Successful data analysts have strong SQL skills, a deep understanding of data warehousing and data products, and the ability to quickly understand the structure and relationship of data from a broad range of sources.  You will have the opportunity to work with various programming languages, technologies, and both structured and unstructured data.

A Qualified Candidate:

• Is a Lifelong Learner and Passionate about Technology

• Is Experienced with Business Intelligence (BI) and data visualization and can show examples of past work

• Is very proficient with SQL, with the ability to demonstrate understanding of various concepts, capabilities, and functions including, but not limited to, the following:  Joins, grouping, ordering, common table expressions, case functions, regex

• Derives joy from tackling complex problems and working through solution tradeoffs

• Can learn on the fly and fill knowledge gaps on demand 

• Has experience working with a variety of people at various levels

• Has a strong ability to interpret datasets and identify information, trends, and patterns.

• Has excellent data management and QA skills – Process Oriented

• Recognizes business requirements in the context of data visualization and reporting and creates data models to transform raw data into relevant insights

• Has aptitude for data presentation and ability to transform raw data into meaningful, actionable reports

• Has experience with Looker / Google Data Studio or similar platforms

• Has strong exploratory data analysis skills and can translate stakeholder requirements into data products

• Has excellent communication skills

Essential Functions

• Provides technical consultation on data product projects by analyzing end to end data product requirements and existing business processes to lead in the design, development and implementation of data products.

• Collaborates with stakeholders to understand data needs and requirements for visualizations taking a “Design Thinking” approach to problem solving and interactive solutioning.

• Collaborates with stakeholders to define metrics and cultivate data sources to support reporting insights aligned to business goals.

• Creates dashboards and interactive visualizations that allow users to explore data in meaningful ways.

• Develops complex SQL queries to combine and transform raw data into datasets needed for metrics and other analytical functions.

• Provides training and support to end-users on how to interpret and interact with data visualizations. 

• Produces data views, data models, and data flows for varying client demands such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research & exploration.

• Translates business data stories into a technical story breakdown structure and work estimate so value and fit for a schedule or sprint is determined.

• Collaborates with enterprise teams and other internal organizations on CI/CD best practices experience using JIRA, Jenkins, Confluence etc.

• Implements production processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

• Practices code management and integration with engineering Git principle and practice repositories.

• Participates as an expert and learner in team tasks for data analysis, architecture, application design, coding,