Data Analytics Manager II

Bloomberg BNA; Arlington (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

Bloomberg BNA in Arlington, Texas seeks a skilled analytics leader to oversee the end-to-end analytics process. The role requires a strong emphasis on organizing and communicating complex data for decision-making and enhancing product value.

The ideal candidate has over 5 years of data analysis experience, strong proficiency in SQL and Python, and is adept at stakeholder engagement and translating data insights into actionable narratives.

Qualifications

• 5+ years of data analysis experience with large datasets.
• Ability to present insights to senior leadership effectively.
• Strong analytical skills for organizing and communicating complex data.

Responsibilities

• Lead the end-to-end analytics process across relevant systems.
• Design, build, and maintain scalable dashboards and reports.
• Translate complex data into clear narratives and visualizations.

Skills

Data analysis

SQL

Python

Business Intelligence tools

Customer journey analytics

KPI development

Data storytelling

Stakeholder engagement

Education

Bachelor's degree in Business, Mathematics, Statistics, or related field

Tools

Tableau

Power BI

Job description

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.

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 or 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”). Bloomberg Industry Group, an affiliate of Bloomberg L.P., is a leading source of legal, tax, regulatory, government, and business information for professionals.