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Data Analytics Jobs in Spring Valley, CA (NOW HIRING)

Curology

Senior Data Analyst

San Diego, CA · On-site +1

$91K - $115K/yr

Reporting to the Analytics Lead, this role sits on the Data Analytics team and partners directly with stakeholders across the business. Success depends on partnering with stakeholders to define the ...

New

Arsenault Inc

Senior Data Analyst

San Diego, CA · On-site

$91K - $115K/yr

... Data Analytics team with deep expertise in querying, structuring, and visualizing data to help answer pressing business questions. The Senior Data Analyst will work closely with cross-functional ...

Booz Allen Hamilton

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

As data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming complex data ...

Booz Allen Hamilton, Inc.

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance ...

Booz Allen Hamilton

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

Experience performing data science and predictive analytics using tools such as Pandas, Polars, Scikit-learn, MLFlow, Pytorch, or Tensorflow * Experience with federal procurement, including for ...

Booz Allen Hamilton

Data Analyst

San Diego, CA

$61K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance ...

4Liberty

Data Analyst

San Diego, CA · Hybrid

The Data Analyst is responsible for creating reports, visualizations, dashboards, and metrics that provide business insight and aid decision-making. The incumbent in this role will combine reporting ...

4Liberty

Data Analyst

San Diego, CA · Hybrid

The Data Analyst is responsible for creating reports, visualizations, dashboards, and metrics that provide business insight and aid decision-making The incumbent in this role will combine reporting ...

LHH US

Data Analyst

San Diego, CA

$72K/yr

Fulltime, direct hire Salary: $72,000/year We are seeking a Data Analyst to join a nonprofit ... Strong reporting and analytics background. * Ability to communicate technical concepts to non ...

LHH US

Data Analyst

San Diego, CA · On-site

$72K/yr

Fulltime, direct hire Salary: $72,000/year We are seeking a Data Analyst to join a nonprofit ... Strong reporting and analytics background. * Ability to communicate technical concepts to non ...

Deegit Inc

Data Analyst

San Diego, CA · On-site

Carlsbad, CA Duration: 6 Months • Strong data analysis and data profiling skills • Strong Conceptual, Logical and Physical data modeling for VLDB Data warehouse • Hands on experience with ...

Intentwise, Inc.

E-Commerce Analytics Lead

San Diego, CA · On-site

$150 - $190/hr

The ideal candidate will be comfortable interfacing with major brands, and will arrive to the job with data analytics expertise and strong knowledge of e-commerce and retail media, including the ...

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$56

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How much do data analytics jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data analytics in Spring Valley, CA is $56.02, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $63.46 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Spring Valley, CA?

The most popular types of Data Analytics jobs in Spring Valley, CA are:

What cities near Spring Valley, CA are hiring for Data Analytics jobs?

Cities near Spring Valley, CA with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Spring Valley, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,512 per year, or $56 per hour.

Senior Data Analyst

Curology

San Diego, CA • On-site, Remote

$91K - $115K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New

Job description

About Curology:
Curology's mission is to make effective, personalized skincare accessible. We were founded by dermatologists who believe everyone should have access to skincare products that actually work. Today, our licensed dermatology providers have helped millions of patients across all 50 states make that mission a reality.
We combine expert medical care with personalized prescription formulas and dermatologist-developed skincare essentials to deliver science-backed solutions that meet people where they are. Join us in our mission to transform skin health and enhance lives-one patient at a time.
Mission of the Role:
The mission of the Senior Data Analyst is to turn ambiguous business questions into analytics solutions that inform decisions - owning the work end to end, from problem framing through delivery and adoption. Reporting to the Analytics Lead, this role sits on the Data Analytics team and partners directly with stakeholders across the business.
Success depends on partnering with stakeholders to define the real question behind a request, recommend the right approach, and deliver visualizations and narratives that make the answer usable by non-technical audiences. The Senior Data Analyst connects each analysis to the broader business context rather than answering questions in isolation, and is accountable for the accuracy, documentation, and durability of what they ship.
Essential Functions and Impact Areas:
Stakeholder Consultation & Problem Framing
  • Partner with business stakeholders across Finance, Commercial, Marketing, and Product functional groups to translate open-ended questions into scoped analytical problems with defined success criteria.
  • Ask the follow-up questions that surface the decision behind the request, and push back when the requested output will not answer it.
  • Recommend the analytical approach, including when a request warrants a reusable data asset rather than a one-off pull.
  • Set expectations on scope and timeline, and communicate changes as work progresses.

End-to-End Project Ownership
  • Own analytics projects from intake through delivery and adoption without requiring day-to-day direction.
  • Source, validate, and model data in SQL to produce analysis-ready datasets.
  • Document methodology, assumptions, and known limitations so results can be reproduced and reused.
  • Build analytical assets that compound - reusable datasets, dashboards, and metric definitions rather than disposable outputs.
  • Verify results against source systems before delivery, and surface discrepancies rather than reconciling them silently.

Data Visualization & Storytelling
  • Design Tableau dashboards that answer a defined question for a defined audience, prioritizing clarity over comprehensiveness.
  • Translate analysis into a clear narrative - what the data shows, what it means, and what decision it supports - calibrating depth to non-technical and senior audiences.
  • Distinguish findings from interpretation and state confidence levels explicitly.

Business Context & Cross-Functional Partnership
  • Help elevate the analytics function at Curology by supporting leadership with the insights they need to manage the business and measure outcomes.
  • Connect analysis to how the broader business operates across patients, subscription lifecycle, and downstream financial impact.
  • Partner with data engineering, analytics peers, and business teams to align on metric definitions and prevent duplicate sources of truth.
  • Surface risks and opportunities stakeholders have not asked about.
  • Handle patient and business data in line with Curology's privacy and security standards.

Requirements
Required Qualifications:
  • 5+ years in an analytics role delivering analysis directly to business stakeholders.
  • Advanced SQL, including complex joins, window functions, and query optimization against large datasets in a cloud data warehouse (Snowflake, Redshift, or similar).
  • Tableau experience building and maintaining production dashboards used by business teams, not one-off visuals.
  • Track record of owning analytics projects end to end, translating ambiguous business questions into a defined approach and recommending the method rather than executing a specified request.
  • Experience defining KPIs and developing metrics, scorecards, and performance reporting used by business teams and leadership.
  • Experience with customer behavior analysis - retention, churn, cohort, and LTV - and defining segmentation used across analytics and reporting.
  • Ability to communicate technical findings to non-technical audiences in both written and live formats.
  • Proficiency using AI as an execution partner to accelerate query drafts, design mockups, and polish outputs, while remaining fully capable of producing the work without AI. Corrects AI output and owns the quality of what ships.
Nice-to-Haves:
  • Experience in a DTC subscription business.
  • Experience supporting lifecycle or CRM marketing teams.
  • Familiarity with email and SMS performance metrics and campaign measurement.

Benefits
Location:
  • Remote (US)
Benefits & Perks:
  • Competitive compensation and equity package (RSUs)
  • Comprehensive benefits: Medical, dental, vision, FSA and HSA, supplemental coverages (critical illness, accident, hospitalization), and 401(k)
  • Access to wellbeing perks, including OneMedical, Spring Health, SoFi, and Employee Assistance Program
  • Flexible paid time off and holiday policy
  • Paid parental leave (birthing and non-birthing parents)
  • Employee donation matching program
  • Culture Committee and employee resource groups for virtual and in-person connectivity
  • Complimentary VIP Subscription to Curology or Agency, plus online retail discount

The estimated base salary range for this role is $130,000 - $160,000 per year, plus a competitive equity package and benefits. Actual compensation will be determined based on several factors, including location, skills, experience, and job-related expertise.
Our Typical Interview Process*:
*Subject to change based on role
  • 30 minute Recruiter screen (phone)
  • 30-45 minute interview with a Hiring Manager (Google Meet or Zoom)
  • 30-45 minute technical assessment, case study, or peer interview(s) (Google Meet or Zoom)
  • 30-45 minute final round interview with Hiring Manager or Team Leader (Google Meet or Zoom)
Candidates Using AI:
At Curology, we invest in responsible use of AI tools to help our teams innovate and solve challenges. Please feel free to use AI to:
  • Refine and polish your application materials
  • Research Curology and the role
  • Prepare for your interviews

Please refrain from using AI tools during live interviews, unless our hiring team has instructed you otherwise. (Note: These guidelines do not apply to reasonable accommodations. If you require a reasonable accommodation at any point during our interview process, please notify your recruiter.)
Curology's Operating Principles:
  • One Curology, One Team
  • Be Candid, Then Commit
  • Lead with Curiosity
  • Trust but Verify
  • Use Peripheral Vision
  • Move Quickly, Think Deeply

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