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Assistant Data Analytics Manager Jobs (NOW HIRING)

... data engineering, analytics engineering, or a related technical data role * Prior experience managing or leading a team, whether data-specific or cross-functional, internal or external * Strong ...

Zipliens is looking for a Data & Analytics Manager to join our team, building the data foundation that powers the next generation of applications and analytics for the legal industry. After several ...

Zipliens is looking for a Data & Analytics Manager to join our team, building the data foundation that powers the next generation of applications and analytics for the legal industry. After several ...

Executive Assistant & Data Analyst Are you a detail-driven professional with a passion for data analysis and strategic support? Do you thrive in a fast-paced environment where your insights and ...

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Assistant Data Analytics Manager information

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$25.5K

$77.7K

$152K

How much do assistant data analytics manager jobs pay per year?

As of Jun 26, 2026, the average yearly pay for assistant data analytics manager in the United States is $77,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $94,000.00 per year, depending on experience, location, and employer.

What does an Assistant Data Analytics Manager do?

An Assistant Data Analytics Manager supports the data analytics team by helping to oversee data projects, analyze large datasets, and generate actionable insights for the organization. They assist in managing junior analysts, ensuring data quality, and developing reports for stakeholders. Their role often involves collaborating with other departments to understand business needs and translating them into data-driven solutions. The Assistant Data Analytics Manager also helps implement new analytical tools and techniques to improve business performance.

What are the key skills and qualifications needed to thrive as an Assistant Data Analytics Manager, and why are they important?

To thrive as an Assistant Data Analytics Manager, you need strong analytical skills, experience with data modeling and visualization, and a relevant degree in statistics, mathematics, or a related field. Proficiency with analytical tools such as SQL, Python, Tableau, and familiarity with database management systems is typically required. Leadership, problem-solving, and effective communication are important soft skills that help manage teams and translate data insights into actionable business strategies. These skills and qualities are crucial for driving data-driven decision making and ensuring project success within an organization.

What are some common challenges faced by an Assistant Data Analytics Manager, and how can they be addressed?

As an Assistant Data Analytics Manager, one common challenge is balancing the technical aspects of data analysis with effective team coordination and communication across departments. You may often need to translate complex analytical findings into actionable insights for non-technical stakeholders. This requires strong communication skills and the ability to prioritize tasks under tight deadlines. Proactively fostering cross-functional collaboration and continuously updating your technical skills can help you overcome these challenges and contribute to the team's success.

What is the difference between Assistant Data Analytics Manager vs Data Analyst?

AspectAssistant Data Analytics ManagerData Analyst
Required CredentialsBachelor's degree in Data Science, Analytics, or related field; some roles prefer certifications like CAP or Microsoft Certified Data Analyst AssociateBachelor's degree in relevant field; certifications are optional but beneficial
Work EnvironmentSupports managerial tasks, oversees projects, collaborates with teams, and reports to managersFocuses on data collection, cleaning, analysis, and reporting; works independently or in small teams
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for supporting analytics teamsCommon across various industries for data interpretation and reporting

The Assistant Data Analytics Manager typically has more responsibilities in overseeing analytics projects and supporting managerial decisions, while Data Analysts focus on analyzing data and generating reports. Both roles require similar educational backgrounds and certifications, but differ in scope and level of responsibility.

What cities are hiring for Assistant Data Analytics Manager jobs? Cities with the most Assistant Data Analytics Manager job openings:
What are the most commonly searched types of Data Analytics Manager jobs? The most popular types of Data Analytics Manager jobs are:
What states have the most Assistant Data Analytics Manager jobs? States with the most job openings for Assistant Data Analytics Manager jobs include:
Data & Analytics Manager

Data & Analytics Manager

Huckberry

Austin, TX • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Job description

Huckberry is built on better data, and we need a lead architect to man the controls. As our Data Manager, you’ll sit at the intersection of our technical infrastructure and our ambitious business goals, leading a team of engineers while staying deep enough in the stack to ship code yourself. You’ll partner directly with the VP of Technology to evolve our architecture, serving as the "connective tissue" that translates stakeholder needs into high-impact projects.

The goal is simple but high-stakes: build out our semantic layer and AI-powered analysis capabilities so that every team from Marketing to Merch can leverage LLMs and tools like Hex to get answers at trailspeed. You aren't just managing pipelines; you’re shaping how this entire organization interacts with data.

This role is based out of our headquarters in Austin, TX; relocation support will be provided to a remote hire

Responsibilities

  • Own prioritization and project management for the data team, balancing competing stakeholder requests with strategic data initiatives

  • Execute hands on data engineering work: building and maintaining ELT pipelines, data models, and transformations across the stack (dbt, BigQuery, Fivetran/Stitch, Rudderstack)

  • Partner with the VP of Technology to maintain, optimize, and evolve Huckberry’s data architecture, including our warehouse (BigQuery), ingestion layer (Fivetran/Stitch, Rudderstack), ML platform (Databricks), and activation tools (Hightouch, Eppo, Hex)

  • Build out and maintain Huckberry’s semantic layer, defining consistent business logic and metrics that can be consumed by BI tools, LLMs, and self-serve analysis platforms

  • Architect and implement AI-powered analysis workflows activating our data in LLMs and Hex to enable natural-language querying and automated insight generation across the business

  • Expand data access and literacy across the company, reducing bottlenecks on the data team by enabling self-serve analytics for Marketing, Merchandising, Finance, and Product teams

  • Ensure data quality, reliability, and documentation across all pipelines and models; establish and enforce testing, monitoring, and alerting standards

  • Manage and mentor the data team, providing clear direction, code review, and performance feedback

  • Evaluate and recommend new tools, vendors, or architectural changes to improve the data platform’s capabilities and cost-efficiency

Requirements

  • 5+ years of experience in data engineering, analytics engineering, or a related technical data role

  • Prior experience managing or leading a team, whether data-specific or cross-functional, internal or external

  • Strong proficiency with SQL and at least one programming language (Python preferred)

  • Hands on experience with modern data stack tools such as dbt, BigQuery (or Snowflake/Redshift), and Fivetran or similar ingestion platforms

  • Familiarity with BI/reporting platforms (Looker, Hex, or equivalent) and a point of view on enabling self-serve analytics

  • Track record of balancing technical execution with project management and stakeholder communication

  • Comfort working in a lean, fast moving environment where you’ll alternate between strategic planning and hands on building

Nice to Have

  • Experience with semantic layer tooling (dbt Semantic Layer, Cube, Looker’s modeling layer) or defining governed metrics and business logic as reusable definitions

  • Exposure to applying LLMs or AI tooling to data workflows, natural-language querying, automated reporting, or similar

  • Experience with a CDP or reverse ETL tool (e.g., Hightouch, Census)

  • E-commerce or DTC retail experience

Benefits

  • Medical, Dental, Vision benefits

  • 401(k) and employer match

  • Annual Huckberry shopping credits

  • Paid Sabbatical leave at 4 years

  • Summer Fridays

  • Weekly catered lunch

  • Monthly happy hours

  • Mental health resources

  • Paid Parental Leave

  • Paid Vacation & Paid Sick Leave

  • Volunteer Time Off

  • Generous employee discount

  • WFH flexibility

  • Annual offsites

Company Description

Huckberry is the ultimate one-stop men's shop for discovering the best gear and threads. Over a million guys trust us as their go-to resource for their closet, adventure inspiration, and a whole lot more. We were named one of IAB's most disruptive consumer brands, and we've collaborated with everyone from Matthew McConaughey and Leon Bridges to brands like Lululemon, Tacoma, and Coors. We look forward to meeting you.

Want to get to know us better? Check out our:

  • Journal: http://huckberry.com/blog

  • Youtube: https://www.youtube.com/@Huckberryco

  • Instagram: http://instagram.com/huckberry

Huckberry encourages candidates of all different backgrounds and identities to apply. We are always eager to further diversify our company, and we are committed to providing an inclusive environment of mutual respect where all can flourish. All of our employment decisions are based solely on merit and business need.