Senior Analyst, Analytics

TruStage•Madison, WI

21h•$102,400 - $153,600•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

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.
7+ years’ data analytics experience.
Expert 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.
Expert understanding of products/services in own area and knowledge of those in other areas; is aware of the competition and the factors that differentiate TruStage in the market.
Strong understanding of applicable business concepts, metrics, processes, and systems for business area(s).
Ability to independently manage multiple priorities in a time sensitive, production environment, for self and others.
Knowledge of leading practices and how own area integrates with others.
Skilled in data mining technologies such as: Alteryx, R, Python, SQL, SAS.
Ability to interpret data models in conjunction with exploratory analysis of a database.
In-depth knowledge of key data across multiple data domains and or business units, Expert knowledge on multiple source systems and the data they generate.
Ability to tutor co-workers (within and outside of organizational department) on various data domains.
Routinely validates how data elements are structured and confirms alignment with business definitions.
In-depth knowledge of multiple data models leveraged across the enterprise (either multiple business units or multiple data domains) and data storage tools such as Snowflake.
Advanced ability to translate complex business requirements into logical data model.
Aligns closely with the data and engineering teams in the construction of the physical data model.
Ability to provides basic datasets to analyst teams for exploratory analysis.
Skilled in BI applications such as PowerBI.
Advanced ability to construct dynamic reports / scorecards vs static reports and ability to visualize the data in the best representation given the data or analytics required.
Advanced ability to represent multivariate data within a single comprehensive visual.
Ability to incorporate aesthetic principles into report / scorecard development.
Ability to communicate analytics in layperson’s terms.
Ability to communicate ideas at every level of detail, from the most detailed business discussion to a leadership forum.
Skilled at leading development of presentation logic and strong presentation skills.
Ability to communicate (verbally and in writing) up and down organizational structure regarding all tasks and assignments.

Responsibilities

Manage business relationship, understand business strategy and needs with an aim to create a trusted partnership.
Participate in business planning discussions and provide guidance and recommendations.
Communicate the analytics and/or data plan and insights with expert storytelling ability.
Define and size business opportunities/problem that can solved through analytics and/or data.
Assess and priortize the opportunity to bring forward a value based, business outcome analytics and/or data solution.
Design analytical and/or data solutions from a broad array of descriptive, diagnostic, predictive, and prescriptive techniques.
Develop analytics and/or data roadmaps to support business strategy.
Plan, prioritize, and translate needs of the business and initiatives to deliver analytics and/or data solutions through cross functional execution across teams.
Lead the analytics structure and analytics priorities for a specific business area(s).
Provide data driven insights impacting one or more business area(s).
Help establish and achieve the business area(s) objectives and key results.
Responsible for the oversight of core metrics and key performance indicators for specific business area(s), leading and lagging indicators, forecasts, and related historical performance.
Solves complex, business area(s) problems; taking a broad perspective to identify innovative solutions where change is needed.
Utilizes strong conceptual understanding of predictive analytics and data to partner with data analysts and data scientists to solve problems.
Acts as a resource for colleagues with less experience; may guide other analysts and or prioritize work.
Often leads small cross-departmental projects with moderate level of risk and resource requirements.
Proficient level understanding of the relationships in specific business area data sets and how they change and trend over time and the key business drivers; uses this understanding to accomplish own work and guide the work of other analysts.
Analyze datasets pertaining to business area(s); utilizes standard formulas, methods, and BI tools common in the industry and relevant to the current data.
Defines reporting data sets, core metrics, and key performance indicators for specific business area(s).
Utilizes BI/Reporting tools to explore data and produce outputs.
Leads others to help solve multifaceted problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions.
Works with data & engineering teams to translate complex business data requirements into data model relationships.
Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines, best practices, and policies to meet deadlines.
Helps in establishing analytic best practices.
Communicates difficult concepts and negotiates with others to persuade a different point of view.
Contributes to change initiatives by actively soliciting and listening to feedback to determine need for change or improvement.
Prepares professional presentations, reports, or visualizations and presents this information various cross-departmental teams, including leadership groups, while tailoring the presentation and insights to a level appropriate for the audience.
Adapts to new situations such as teams, projects, or work processes.
Maintains a high-level awareness of industry, competitor, and market trends; interprets internal/external business challenges pertaining to business area(s) and recommends changes to improve products, processes, or services.
Champions relevant data to appropriate users in an organization and monitor the published data sources for usage/relevance/quality feedback.
Works as part of a team dedicated to maintaining and enhancing the overall usefulness, integrity, and security of data across the enterprise.