Analyst III, Workforce Analytics (Hybrid)

TruStage•Madison, WI

48d•Hybrid

About The Position

At TruStage, we’re on a mission to make a brighter financial future accessible to everyone. We put people first, and work hand in hand with employees and customers to create a diverse and inclusive environment. Passionate about building insurance and financial services solutions, we push the boundaries of what’s possible. We need you to help us shape what’s next. You’ll be encouraged to share your experiences, ideas and skills to help others take control of their financial future. Join a team that has received numerous awards for being a top place to work: TruStage awards and recognition With moderate supervision, the Analyst III, Workforce Analytics will have the opportunity to make a significant impact through the discovery, development, and execution of leading-edge analytics that answer important workforce, human resource, and people data questions. Additionally, this position will be able to produce ETL pipelines to connect and transform datasets, conduct exploratory analysis, generate reporting, and create visualizations to serve the dual purpose of driving decision making and delivering fact-based actionable recommendations. The analyst will collaborate with key business partners for the purpose of identifying and delivering robust reporting and analytics capabilities to drive improved business performance.

Requirements

Bachelor’s degree in mathematics, economics, computer science, information management, statistics, or related field, or equivalent combination of education and/or related professional work experience
3+ years’ data analytics experience
Business Domain Skills: Experience with Human Resource/People Data
Strong business acumen and analysis skills to understand and quantify the steps required, impacts, and benefits associated with implementing or changing business process, rules, policy, etc. to impact performance
Knowledge in how the business works and how it is executed (People, Process and Technology).
Ability to manage multiple priorities in a time sensitive, production environment
Familiarity with applicable business concepts, metrics, processes, and systems for business domain(s)
Data Skills: Proficiency in the following data mining technologies: Alteryx, Python, SQLS
Ability to interpret data models in conjunction with exploratory analysis of a database
Data Knowledge: Awareness of where specific business unit or data domain information is housed within the enterprise
Awareness of how data is modeled for a specific business unit or data domain
Awareness of source systems within the enterprise
Data Modeling: Understands basic data modeling concepts/techniques and data storage tools such as Snowflake and SQL Server.
Can interpret basic business requirements necessary for data model development
Understands conceptual model design
Reporting and BI: Proficient in BI applications such as PowerBI
Ability to leverage existing applications to produce actionable reports
Ability to incorporate relevant data (KPI’s) into cohesive and comprehensive reports and visuals
Awareness of industry reporting and visualization best practices
Communications: Ability to communicate analytics in layperson’s terms
Ability to communicate (verbally and in writing) with internal and external teams regarding tasks and assignments

Responsibilities

Optimize core metrics and build high quality data solutions for stakeholders.
Run and optimize analytic operations.
Participate in cross-departmental projects.
Solve business problems.
Analyze large datasets and extract insights.
Business Domain Analysis: Support and optimize established analytics operations.
Provide data driven insights impacting specific business domain(s).
Help the business achieve its objectives and key results.
Support the core metrics and key performance indicators for specific business domain(s), leading and lagging indicators, forecasts, and related historical performance.
Solve a range of straightforward, business domain problems by analyzing possible solutions and utilizing standard procedures, while acquiring higher-level knowledge and skills.
Support analytics on cross-departmental problems with moderate supervision from manager and/or senior analysts.
Data Modeling, Reporting, and Business Intelligence: Robust understanding of the relationships in specific business domain data sets, how they change and trend over time, and their key business drivers; use this understanding to accomplish own work.
Collect, manipulate, and analyze datasets pertaining to specific business domain(s); utilize standard formulas, methods, and BI tools common in the industry and relevant to the current data in all phases (collection, analysis, reporting).
Create and maintain updated reports and visualizations that provide insight into key data points.
Maintain and modify reporting and visualizations on core metrics and key performance indicators for specific business domain(s).
Utilize BI/Reporting tools to explore data and produce outputs.
Solve problems in straightforward situations; analyze possible solutions using technical experience, judgment, and precedents within level of authority.
Impact quality of own work; work within guidelines and best practices to achieve objectives and meet deadlines.
Business Data Communications: Explain complex information to others in straightforward situations and provide suggestions to meet team goals; ask questions and check for understanding.
Contribute to change initiatives by suggesting ways to clarify ambiguity.
Prepare presentations, reports, or visualizations and present this information to team or working groups.
Adapt to new situations such as teams, projects, or work processes.
Understand relevant data and monitor the published data sources for usage/relevance/quality feedback.
Work as part of a team dedicated to maintaining and enhancing the overall usefulness, integrity, and security of data across the enterprise.