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Data Analytics Manager Jobs in Riverside, CA (NOW HIRING)

Iteris is seeking a Sr. Sales Finance & Analytics Manager to strengthen the financial rigor ... Ensure data accuracy, consistency, and alignment across systems * Translate complex financial and ...

Iteris is seeking a Sr. Sales Finance & Analytics Manager to strengthen the financial rigor ... Ensure data accuracy, consistency, and alignment across systems * Translate complex financial and ...

As the Associate Manager, AIDM Analytics on Taco Bell's Digital Customer Intelligence team, you will champion data-driven strategies to elevate our digital customer experience. You will support and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

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Data Analytics Manager information

See Riverside, CA salary details

$32.3K

$101.3K

$179.4K

How much do data analytics manager jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data analytics manager in Riverside, CA is $101,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,900.00 and $130,900.00 per year, depending on experience, location, and employer.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment certain responsibilities, it is unlikely to fully replace data analysts in the near future, and skills in data storytelling and critical thinking remain essential.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What does a data analyst manager do?

A data analyst manager oversees a team of data analysts, guiding data collection, analysis, and reporting to support business decision-making. They develop strategies, ensure data accuracy, and often use tools like SQL, Excel, or data visualization software to interpret complex data sets. Strong leadership, communication skills, and knowledge of analytics tools are essential for this role.

How much do data analytics managers make?

Data analytics managers in the US typically earn a median salary of around $100,000 to $130,000 annually, with experienced professionals and those in high-demand industries earning higher. Salaries can vary based on location, education, certifications, and company size, and many roles require proficiency in tools like SQL, Python, or Tableau.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

Is a data analyst a high salary?

Data analysts typically earn moderate to high salaries depending on experience, industry, and location. While entry-level positions may have lower pay, experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher salaries, especially in competitive markets.
What are the most commonly searched types of Data Analytics jobs in Riverside, CA? The most popular types of Data Analytics jobs in Riverside, CA are:
What are popular job titles related to Data Analytics Manager jobs in Riverside, CA? For Data Analytics Manager jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Data Analytics Manager jobs in Riverside, CA look for? The top searched job categories for Data Analytics Manager jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Data Analytics Manager jobs? Cities near Riverside, CA with the most Data Analytics Manager job openings:
Infographic showing various Data Analytics Manager job openings in Riverside, CA as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $101,348 per year, or $48.7 per hour.
Sr. Sales Finance & Analytics Manager

Sr. Sales Finance & Analytics Manager

iteris

Irvine, CA

$142K - $158K/yr

Other

Re-posted 27 days ago


Job description

Iteris is seeking a Sr. Sales Finance & Analytics Manager to strengthen the financial rigor, forecasting discipline, and analytical frameworks that support our global revenue organization. This role sits at the intersection of Finance, Sales, Sales Operations, and GTM leadership, with responsibility for revenue forecasting, sales financial planning, deal governance, and compensation analytics.

Reporting into Sales Operations, this role acts as a strategic FP&A partner to Sales Leadership and the Chief Sales Officer, driving revenue planning, quota design, pricing analysis, and performance insights across Iteris’ hardware, software, and services portfolio. The ideal candidate brings deep FP&A experience, strong financial modeling skills, and the ability to translate complex data into actionable insights that influence executivelevel decisions.

In office Monday - Thursday. Fridays work remote. 

What You Will Be Doing:

 

Revenue Forecasting & Financial Planning

  • Partner with Sales Leadership, Sales Ops, and Finance to build and refine revenue forecasts, financial models, and longrange revenue plans
  • Lead weekly and quarterly forecasting cycles, ensuring alignment between pipeline, bookings, backlog, and revenue recognition
  • Conduct scenario modeling to evaluate revenue risks, sensitivities, and upside opportunities
  • Provide leadership with insights that improve forecast accuracy, predictability, and visibility

Deals Desk Leadership

  • Serve as the primary financial partner for deal review, pricing approvals, and commercial structuring
  • Evaluate pricing, discounting, margin impact, and deal economics to ensure financial discipline
  • Partner with Sales to structure deals that balance competitiveness with profitability
  • Develop and maintain deal approval matrices, pricing guardrails, and financial justification templates
  • Analyze deal patterns to identify opportunities for improved pricing strategy and margin expansion

Sales Compensation & Quota Planning

  • Partner with Sales Leadership and Finance to design quota models, territory assignments, and capacity plans
  • Support annual compensation planning, including plan design, modeling, and financial impact analysis
  • Monitor quota attainment, productivity metrics, and compensation-to-revenue ratios
  • Ensure compensation plans align with company strategy, revenue goals, and financial constraints
  • Provide insights into compensation effectiveness and recommend adjustments to improve performance and ROI

Performance Analytics & Insights

  • Analyze performance across hardware, software, and services to understand revenue drivers and margin impacts
  • Identify trends in pipeline generation, conversion rates, deal velocity, and sales productivity
  • Deliver insights into customer segmentation, channel performance, and sales motions
  • Evaluate pricing and discounting trends to understand their impact on revenue and margin

Reporting, Dashboards & Executive Communication

  • Define, manage, and track the core financial and operational KPIs that guide the revenue organization
  • Build scalable dashboards and reporting infrastructure using Salesforce, Excel, and BI tools
  • Ensure data accuracy, consistency, and alignment across systems
  • Translate complex financial and operational data into clear, executiveready insights
  • Develop analytical summaries and presentations for executive leadership, QBRs, and strategic planning sessions

CrossFunctional Strategic Support

  • Act as a strategic analytical partner across Sales, Finance, Product, and Operations
  • Support initiatives including gotomarket planning, partner/channel performance analysis, and new product launch measurement
  • Build scalable analytical frameworks that support longterm revenue growth and financial discipline

What You Need To Be Successful

  • Bachelor’s degree in Finance, Economics, Business, Mathematics, or a related analytical field (MBA a plus)
  • 10+ years of experience in FP&A, Sales Finance, Revenue Strategy, or Revenue Operations within a technologydriven or highgrowth environment
  • Advanced Excel modeling and financial analysis skills; ability to build complex revenue, compensation, and deal models
  • Strong experience with Salesforce reporting, CRM analytics, and Microsoft Suite (especially PowerPoint)
  • Experience with BI tools such as Tableau, Power BI, Looker, or similar
  • Working knowledge of SQL or data querying tools preferred
  • Strong ability to translate financial and operational data into clear business recommendations
  • Excellent communication skills with experience presenting insights to senior leadership

Iteris anticipates paying a base salary between $142,600 and $158,900 for this role. Actual pay offered may be below or above these amounts, depending on the individual’s job-related knowledge, skills, and experience.

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