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Assistant Data Analytics Manager Jobs (NOW HIRING)

Manager, Data Analytics

Atlanta, GA · Hybrid

$111K - $145K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

Manager, Data Analytics

Tempe, AZ · Hybrid

$111K - $145K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

Join us as a Data Analytics, Manager, Commercial Lines to play your part in that transformation. It's an opportunity to grow your skills and experience as a valued member of the team. Make Your Mark:

Manager, Data Analytics

Tempe, AZ · On-site

$111K - $145K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

Manager, Data Analytics

Tempe, AZ · Hybrid

$111K - $145K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

Manager, Data Analytics

New York, NY · On-site

$123K - $161K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

Business Analytics Manager

Tolleson, AZ · On-site

$85K - $150K/yr

Are you ready to lead the future of data-driven decision-making in the dynamic world of supply chain? At DHL Supply Chain, we're looking for a Business Analytics Manager who can elevate our analytics ...

Are you ready to lead the future of data-driven decision-making in the dynamic world of supply chain? At DHL Supply Chain, we're looking for a Business Analytics Manager who can elevate our analytics ...

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Assistant Data Analytics Manager information

See salary details

$25.5K

$77.7K

$152K

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

As of Jul 17, 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:
Manager, Data Analytics

Manager, Data Analytics

Oscar Health

Atlanta, GA • Hybrid

$111K - $145K/yr

Other

PTO

Posted 19 days ago


Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

238th of 281 rated insurance


Job description

Hi, we're Oscar. We're hiring a Data Analytics Manager to join our Operations Team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family.

About the role:

The Data Analytics Manager works across and outside the organization to solve complex data issues. You will work collaboratively to assess data related issues, understand the cause of those issues, and partner with the engineering, data, and customer success teams to implement solutions. You will understand the use, flow, and generation of data within a complex ecosystem of business processes and will need to explain your findings to audiences with varying degrees of technical knowledge. You will drive the scoping & execution of analytical requests, including working with team members to define important questions, scope methodologies, and achieve results.

Work Location: This position is based in our Atlanta, GA office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $111,034.80 - $145,733.18 per year. You are also eligible for employee benefits, unlimited PTO and annual performance bonuses.

Responsibilities:

  • Communicate with external customers and our teams to evaluate data issues, serving as the first point of contract for production issues
  • Ask questions to determine the cause and business impacts of issues that are raised surrounding our data
  • Partner with engineering and data teams to find solutions to data issues within a complex system architecture that prioritize accuracy, customer satisfaction, and scalability
  • Partner with business teams to explain complex technical and data issues to non-technical colleagues, including packaging and presenting findings
  • Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our users' needs evolve
  • Identify opportunities to create models and tools that improve processes and overall improve efficiency
  • Collaborate across the organization with internal and external leaders, to identify actions to achieve improvements and monitor initiative impact
  • Support other projects as assigned to meet our needs
  • Lead a team of data analysts
  • Compliance with all applicable laws and regulations (DO NOT REMOVE - REQUIRED)
  • Other duties as assigned (DO NOT REMOVE - REQUIRED)

Requirements:

  • 4+ years of technical work experience using analytical tools and writing analytical reports
  • 4+ years in a client-facing role with experience managing issues externally
  • 2+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process
  • 5+ examples/projects of experience communicating updates and resolutions to customers and other partners, around business reporting impact and requirements
  • 2+ years experience in SQL, with the ability to filter, aggregate, and build CTEs, or proficiency in R or Python, including experience with Pandas, for loops, and statistical tests
  • 1+ years experience, including proficiency in Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected Sheets
  • 1+ years experience in healthcare, finance or the insurance industry

Bonus points:

  • 2+ years experience in preparing healthcare analytics, reporting, and data management
  • Experience with ticketing system (such as Jira)
  • Proficiency in R or Python, including experience with Pandas, for loops, and statistical tests

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