Senior Analyst, Analytics

Job 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 prioritize 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.
• Utilizes expert level knowledge across business area(s) and industry to:
• 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.
• Oversight of core metrics and key performance indicators for specific business area(s), leading and lagging indicators, forecasts, and related historical performance.
• Solve 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.

Data Modeling, Reporting, And Business Intelligence

• 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.

Business Data Communications

• 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.

Job 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.
• Business Domain Skills:
• 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.

• Data Skills:
• 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.
• Data Knowledge:
• 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.

• Data Modeling:
• 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.

• Reporting and BI:
• 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.

• Communications:
• 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.