Example Company
Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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Data Analyst Lead
- Type
- Full time
- Posted
- 5D AGO
About the role
What You'll Do:
- Leads expert level quantitative and qualitative data analysis and reporting of patterns, insights, and trends to Claims Leadership team in order to drive business decisions and address business questions.
- Access, gather, and analyze data from multiple internal and external sources and partners with Client Advocacy Reporting Solutions & DSA to create and produces forecasts, reports, dashboards, etc. to tell a story through data.
- Creates and is accountable for high quality, value driven work that drives business outcomes; places the user in the center of decision making; and collaborates with team for speed, agility and innovation in work
- Delivers results, insights and recommendations (written, verbal, presentations, etc) to Claims Leadership team and other business partners to support business decisions
- Produce actionable reports that show key performance indicators, identify areas of improvement into current operations, display root cause analysis of problems, and recommend solutions
- Seeks to understand business processes in the Claims department, user tasks, and as necessary, captures refined process documents
- Shares best practices on data analysis with peers through coaching and mentoring around core methodologies, patterns, standards and processes.
- Takes initiatives to design and develop deliverables based on interpretation of findings and business needs on a wide range of highly complex analytical topics
- Provides consultation to leaders and participates in cross-functional teams to address business issues
- Identifies & captures business requirements, and contributes to development of KPI frameworks
- Regularly applies new perspectives, creative problem solving, and inter-departmental connections to improve analytical capabilities
- Actively promote learning & curiosity.
- Contributes to forecasts, recommendations and strategic/tactical plans based on business data and market knowledge. Utilizes analytics and metrics to improve processes and provide data-driven forecasts that impact the business (costs, risks, etc).
- Leads value driven work that drives business outcomes; places the user in the center of decision making; and collaborates with team for speed, agility and innovation in work.
What You'll Bring to the Role:
- Bachelors degree in computer science, math, statistics, business or related field.
- At least 6 years of professional experience
- At least 5 years of experience building analytics models, visualizations and delivering insights
- Ability to provide design direction
- Ability to apply data visualization best practices to work deliverables.
- 7+ years of relevant experience with a proven track record in research and data analysis, application of statistical research techniques, report or application development that support business decisions/outcomes.
- Expertise in development and analytical tools such as SAS, SQL, MS Excel, SPSS or other tool
- Visualization tooling like PowerBI or Tableau
Skills You Have:
Analytical Thinking (NM): Organizes and compares different aspects of a situation to identify complex underlying issues through quantitative data and analysis. Uses business acumen, problem solving, and multiple perspectives to think critically and improve processes.
Cross Functional Partnering & Planning (NM): Facilitates collaboration, communication, coordination, and planning across individuals and teams with different areas of expertise to achieve shared goals.
Data Analytics (NM): Creates business knowledge through data analysis and applies a variety of analytical techniques to support business questions, decisions, and outcomes.
SQL (NM): Uses clear, logical SQL code for small- and large-scale projects to access, organize, and manage data within a database-management system.
Data Interpretation (NM): Reviews and interprets data findings to identify patterns, develop meaningful insights, and support informed business decisions.
Data Literacy (NM): Selects and uses appropriate data for a specific purpose, thinks critically about analytical findings, applies suitable tools and methods, and recognizes when data may be misrepresented or used incorrectly.
Storytelling through Data (NM): Communicates insights and opportunities from data through clear narratives, visualizations, and analysis.
#LI-Hybrid
Compensation Range:
Pay Range - Start:
$108,160.00Pay Range - End:
$162,240.00Geographic Specific Pay Structure:
Structure 110:
$118,960.00 USD - $178,440.00 USDStructure 115:
$124,400.00 USD - $186,600.00 USDWe believe in fairness and transparency. It’s why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you’re living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more.
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Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.
