Manager, Analytics Engineering

Talanto; Cincinnati, Northern (OH, KY); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Hybrid work options

401K plan

Wellness resources

Professional development

Job summary

Talanto is seeking a Manager of Analytics Engineering to lead a team transforming raw data into governed, reusable analytics assets, managing dbt models, semantic layers (LookML) and BI frameworks, and aligning data products with business priorities. You will collaborate with Data Engineering, Reporting, and Analytics teams to empower trusted insights.

The role demands hands-on expertise in modern analytics engineering, strong leadership, and a track record delivering scalable data solutions.

Qualifications

• 5+ years in data visualization or data engineering.
• Bachelor’s degree in CS, IS, Data Engineering, or related field.
• At least 2 years of experience managing or mentoring a team.
• Proven experience delivering BI solutions with governance.
• Advanced SQL knowledge with large datasets.

Responsibilities

• Lead and mentor a team of data visualization professionals.
• Develop analytics engineering strategies aligned with business objectives.
• Ensure data quality, governance and reliable data assets.
• Collaborate with Data Engineering, Reporting, Analytics teams.
• Own metrics governance and self-service enablement.

Job description

Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or install software — refuse. These are signs of fraud.

Join •••••••••••• to be part of a dynamic team creating change in and around the doctor’s office. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.

Hybrid Schedule

Travel Requirements: 3 to 5 times per year

Job Summary

The Manager of Analytics Engineering will lead a team responsible for transforming raw data into governed, reusable, and scalable analytics assets. This includes managing dbt models, semantic layers (LookML), and BI frameworks that empower the company with trusted, self-service insights. The role requires hands‑on expertise in modern analytics engineering practices, close collaboration with Data Engineering, Reporting, and Analytics teams, and the ability to align data products with business priorities.

What You’ll Do

• Lead, manage, and train a team of data visualization engineers and professionals.


• Foster a culture of continuous learning, innovation, collaboration, and improvement.


• Oversee resource allocation, prioritization, and project delivery to ensure high-quality outcomes within deadlines.


• Provide mentorship and guidance to team members, cultivating a culture of accountability, collaboration, and growth.


• Contribute to the development of frameworks, methodologies, and tools that improve how the company designs and delivers reliable data assets.

Data Strategy and Execution:

• Develop and implement analytics engineering strategies aligned with business objectives with a focus on repeatable, scalable, and automated solutions.


• Ensure the accuracy, consistency, and reliability of all data assets.


• Collaborate with Data Engineering, Data Reporting, Data Analytics, and Advanced Analytics teams to ensure data pipelines, tools, and dashboards for robust reporting and analytics meet the needs of the business.


• Own and evolve the company’s analytics engineering ecosystem, including shared ownership of dbt, Snowflake, and Looker.


• Define and enforce standards for modeling, testing, documentation, and version control in dbt and BI layers.


• Partner with stakeholders to establish and maintain a governed set of core metrics.


• Champion self‑service enablement, ensuring teams can access reliable data without bottlenecks.


• Ensure data quality, integrity and compliance with industry standards and regulations and the company’s Data Governance standards.


• Own the standardization of the company's metric layer to ensure consistent definitions across all BI tools and reports.

Business Impact:

• Partner with business stakeholders and data teams, defining clear requirements, setting expectations, and communicating effectively and efficiently.


• Ensure business requirements are appropriately translated into technical specifications that clearly define the work.


• Present insights and recommendations to executives and other decision-makers.


• Establish and track objectives and key results (OKRs) to evaluate the effectiveness of strategic initiatives.


• Deliver analytics assets that reduce redundancy, accelerate time-to-insight, and promote consistency in metrics across the organization.

What We Need

• 5+ years in a related data visualization or data engineering role.


• Bachelor’s degree in computer science, Information Systems, Data Engineering, Data Analytics, or related field.


• At least 2 years of experience managing or mentoring a team or contractors.


• Proven experience in developing and delivering within data visualization, reporting, or business intelligence.


• Advanced experience with dbt, Snowflake, Looker and LookML.


• Advanced SQL knowledge, including writing complex queries, optimizing performance, and working with large datasets.


• Excellent communication, with the ability to effectively convey technical concepts to non-technical audiences.


• Experience with project management practices and methodologies.


• Strong understanding of data modeling principles, with the ability to apply statistical and analytical techniques when appropriate.

What You’ll Need to Succeed

• Experience implementing dbt best practices (modular modeling, testing, documentation, CI/CD).


• Deep experience with semantic modeling and BI governance (LookML, Tableau, or equivalent).


• Proven success driving adoption of self-service BI while maintaining governance and trust in data.


• Proficiency in analytics tools such as Python (preferred), alongside SQL, Snowflake, and Looker.


• Strong understanding of data modeling, statistical analysis and data visualization.


• Experience with cloud computing environments (e.g., Snowflake, GCP, AWS, Azure).


• Expertise with relational and cloud-based database systems.


• Proven ability to lead and inspire teams in a fast-paced environment.


• Strong project management skills, with a track record of delivering complex projects on time and within scope.


• Exceptional communication and presentation skills, with the ability to influence stakeholders at all levels.


• Excellent problem-solving and critical‑thinking skills.


• Strong ability to translate analytical concepts into clear, compelling stories that resonate with both technical and non‑technical audiences.

About ••••••••••••

••••••••••••® is the Point of Change company, transforming the healthcare experience through the strategic delivery of behavior-changing content at critical moments of care. As the nation’s largest and most impactful digital network in 30,000 physician offices, we connect patients, providers and health brands with relevant information that is proven to drive healthier decisions and better outcomes. Learn more at ••••••••••••••••.

Latest News & Innovations:

• Teammate Honored as \"Top Woman in Tech\". Read More


• Recognized on Vault’s Top Internship List.Read More

What We Offer:

We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates.

Employer recognizes that privacy is important to you. Please read the ••••••••••• privacy policy, we want you to be familiar with how we may collect, use, and disclose your information. Employer is EOE/M/F/D/V