CHS Corporate
Senior Data Analyst
,
Full Time
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:
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
- 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, and testing practices.
- Required Education: Bachelor's degree in computer science, information systems, cyber security, business, statistics, mathematics, or a related field
- Preferred Education: Master's degree in computer science, information systems, cyber security, business, statistics, mathematics, or a related field
- Computer Skills Required:
- Advanced skills with SQL
- Experience with python, javascript, CSS, or other languages a plus.
- Desired experience in: Looker Studio / Google Data Studio, BigQuery
- 3+ years of experience with developing compelling stories and distinctive visualizations.
- 3+ years of relevant experience with data quality rules, data management organization/standards, practices and software development.
- 4+ years of SQL experience.
- 3+ years of dashboarding / BI tool experience (Looker Studio, PowerBI, Tableau, etc).
- Experience in statistical analysis, data models, data warehousing, and queries.
- Data application and practice knowledge.
- Good problem solving, oral and written communication skills.
- Strong working knowledge of graphic design or UI design.
- Preferred Experience:
- Healthcare/Insurance/financial services industry knowledge
- Python
- Javascript
- CSS
- Looker Studio / Google Data Studio