What you will do:
- Lead the end-to-end analytics process, for relevant systems, including quality assurance, auditing, and governance to ensure data integrity and usability across platforms.
- Analyze customer behavior, feature adoption, usage patterns, and performance metrics to uncover trends and deliver actionable recommendations that enhance product value and business outcomes.
- Design, build, and maintain scalable dashboards and reports that provide visibility into KPIs, success metrics, and end user customer engagement of relevant system.
- Develop forecasting models and dashboards to support and measure impact of strategic planning or product utilization.
- Manage and innovate data sets and data platforms, ensuring scalable, high-performing, and compliant data assets across the organization.
- Partner with teams across the organization to align data initiatives, define KPIs, and democratize access to insights through self-service tools and training.
- Own and drive cross-functional relationships across the business, act as the liaison between the analytics team and key business stakeholders across these teams.
- Implement and maintain data collection systems, and quality control strategies to optimize statistical efficiency and data quality.
- Translate complex data into clear, compelling narratives and visualizations for non-technical stakeholders, enabling informed decision-making at all levels.
- Partner with Engineering to manage analytics tools ensuring smooth data flow and governance.
- Champion responsible data use, ensuring adherence to internal policies and external regulations.
You need to have:
- Bachelor’s degree in Business, Mathematics, Statistics, Computer Science, related field, or equivalent practical experience.
- 5+ years of data analysis experience, leveraging descriptive and predictive techniques on large, complex datasets from multiple sources.
- 3+ years of experience working with large datasets from diverse sources, producing actionable reports, and presenting findings.
- 3+ years of experience presenting insights to senior leadership or high-level audiences.
- 1+ years of experience uncovering data insights to form hypotheses, designing product experiments, evaluating results, and making recommendations.
- Strong experience in product analytics, sales analytics, or data strategy roles.
- Strong analytical skills to organize, analyze, and communicate complex data with accuracy and detail.
- Skilled in collaborating with stakeholders, translating requirements into actionable analytical solutions.
- Ability to manage priorities in fast-paced environments while independently managing analytics projects from scoping to delivery.
- Effective communication skills: Regularly achieve consensus with peers, explain complex data concepts to non-technical stakeholders, and provide clear status updates
- Proficiency in SQL, Python, and BI tools (e.g., Tableau, Power BI).
- Deep understanding of customer journey analytics, KPI development, and data storytelling.
- Experience managing large-scale datasets, data platforms, and pipelines.
- Proven ability to lead cross-functional projects.
- Excellent communication and stakeholder engagement skills.
- Familiarity with data privacy standards and compliance best practices.
Special Requirements:
- Candidates may be required to pass a test for this position.
Compensation Range:
$105,000.00-$135,000.00Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.
Equal Opportunity
Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (“Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics (“Discrimination”).
Skills Required
- Bachelor's degree in Business, Mathematics, Statistics, Computer Science, related field, or equivalent practical experience.
- 5+ years of data analysis experience, leveraging descriptive and predictive techniques on large, complex datasets from multiple sources.
- 3+ years of experience working with large datasets from diverse sources, producing actionable reports, and presenting findings.
- 3+ years of experience presenting insights to senior leadership or high-level audiences.
- 1+ years of experience designing product experiments, evaluating results, and making recommendations based on data insights.
- Strong experience in product analytics, sales analytics, or data strategy roles.
- Strong analytical skills to organize, analyze, and communicate complex data with accuracy and detail.
- Skilled in collaborating with stakeholders and translating requirements into actionable analytical solutions.
- Ability to manage priorities and independently manage analytics projects from scoping to delivery.
- Effective communication skills for explaining complex data concepts to non-technical stakeholders and achieving consensus.
- Proficiency in SQL, Python, and BI tools (e.g., Tableau, Power BI).
- Deep understanding of customer journey analytics, KPI development, and data storytelling.
- Experience managing large-scale datasets, data platforms, and pipelines.
- Proven ability to lead cross-functional projects and engage stakeholders.
- Familiarity with data privacy standards and compliance best practices.
- May be required to pass a test for this position.
Bloomberg Industry Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bloomberg Industry Group and has not been reviewed or approved by Bloomberg Industry Group.
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Affordable Benefits — Health coverage is advertised at low employee premiums, with coverage available for as little as $50 per month. Low out-of-pocket medical costs are positioned as a clear value.
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Parental & Family Support — Parenting leave, back-up childcare, and family-support programs are emphasized as core parts of the package. These supports add practical flexibility for caregivers.
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Retirement Support — A 401(k) with company match alongside profit-share contributions is included. This structure strengthens long-term savings beyond a basic retirement plan.
Bloomberg Industry Group Insights
What We Do
Bloomberg Industry Group empowers professionals in government, law, tax, and accounting with the news, data, and analysis they need to take decisive action and make the most of every opportunity. Bloomberg Industry Group is an affiliate of Bloomberg L.P.
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