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Data Consulting Jobs in California (NOW HIRING)

PT Systems

Data Masking Consultant

El Dorado Hills, CA · On-site

Data Masking Consultant Location: SFO or El Dorado Hills, CA Pay Rate: DOE Type: W2,C2C Duration: 4 Months with possible extension Must skills Needed: • Strong verbal and written communication ...

TikTok

Data Engineer, Global Live

San Jose, CA · On-site

$156K - $387K/yr

As a Data Solutions Consultant, you will be responsible for: - Understanding business problems, designing and implementing easy-to-use data solutions for businesses. - Collaborating with data ...

WinWire

Senior Technical Recruiter

Santa Clara, CA · On-site

Own end‑to‑end recruitment for critical technical roles including Tech Leads, Tech Architects, and Solutioning Experts for Data Analytics / Data Engg / AI space. * Act as a talent consultant to ...

Sonsoft Inc

Big Data/NoSQ Consultant

Torrance, CA

Strong development experience in Big Data, NoSQL Databases. * Strong development Experience in ... H1B Transfer consultants can also apply for this Full-Time position. * No OPT-EAD for this position.

Sonsoft Inc

Big Data/NoSQ Consultant

Torrance, CA

Strong development experience in Big Data, NoSQL Databases. * Strong development Experience in ... H1B Transfer consultants can also apply for this Full-Time position. * No OPT-EAD for this position.

Apex Informatics

Data Consultant

Oakland, CA · On-site

Required Level of Education and Preferred Level of Education: Bachelor's Degree Required. Master's degree is preferred. How many years of related experience are you looking for in your ideal ...

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All JobsData Consulting JobsData Consulting Jobs in California

Data Consulting information

See California salary details

$45.4K

$162.9K

$240.3K

How much do data consulting jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data consulting in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

Is 30 too old to get into consulting?

Data consulting is a field open to professionals of various ages, and starting at 30 is common. Success depends on relevant skills, experience, and certifications like data analysis tools or programming languages, rather than age alone.

What is the difference between Data Consulting vs Data Analysis?

AspectData ConsultingData Analysis
Required CredentialsTypically requires a degree in business, data science, or related fields; certifications like CBIP or CDMP are commonUsually requires a degree in statistics, mathematics, or related fields; certifications like CAP or Microsoft Data Analyst are beneficial
Work EnvironmentConsultants often work with multiple clients across industries, providing strategic advice and solutionsAnalysts generally work within organizations, focusing on interpreting data to inform business decisions
Employer & Industry UsageConsulting firms, large corporations, and agenciesCorporations, research institutions, and data-driven departments

Data Consulting involves advising organizations on data strategies, architecture, and solutions, often across multiple clients. Data Analysis focuses on examining data sets to uncover insights and support decision-making within a specific organization. While both roles require strong analytical skills, Data Consulting emphasizes strategic guidance, whereas Data Analysis centers on data interpretation and reporting.

What is data consulting?

Data consulting is a professional service that helps organizations leverage data to make informed decisions, optimize operations, and drive business growth. Data consultants analyze existing data systems, recommend strategies for data collection and management, and help implement analytics tools. They often assist with data visualization, reporting, and ensuring regulatory compliance. Their expertise enables companies to turn raw data into actionable insights, improving efficiency and competitiveness.

How do data consultants typically collaborate with clients and internal teams during a project?

Data consultants frequently work in close partnership with both clients and internal stakeholders to identify business challenges, define project objectives, and design effective data-driven solutions. This often involves regular meetings to understand client needs, ongoing communication with data engineers or analysts, and presenting actionable insights in a clear, non-technical manner. Collaboration is key, as consultants must translate complex data findings into strategies that align with the client's goals while ensuring alignment across technical and business teams. The role requires strong interpersonal and project management skills to keep projects on track and deliver measurable value.

Is 40 too late for data science?

Data consulting and data science roles do not have strict age limits; many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or SQL, along with experience and continuous learning. Age should not be a barrier if you build a strong skill set and stay current with industry developments.

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

To thrive as a Data Consultant, you need expertise in data analysis, data modeling, and a solid understanding of business intelligence, often supported by a degree in a quantitative field. Proficiency with tools such as SQL, Python, data visualization platforms (like Tableau or Power BI), and familiarity with data governance frameworks are typically required. Strong communication, problem-solving, and client management skills set standout consultants apart. These competencies are crucial to effectively translate complex data into actionable insights and drive strategic decision-making for clients.

What does a data consultant do?

A data consultant analyzes and interprets data to help organizations make informed decisions. They often work with data management tools, develop data models, and provide strategic recommendations based on data insights. Strong analytical skills and knowledge of data visualization and database systems are essential for this role.
What are popular job titles related to Data Consulting jobs in California? For Data Consulting jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Consulting jobs in California look for? The top searched job categories for Data Consulting jobs in California are:
Data Consulting jobs near you
Infographic showing various Data Consulting job openings in California as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Customer Experience Data Insights Manager,

Rootshell Enterprise Technologies, Inc.

Redwood City, CA • On-site

Full-time

Posted 8 days ago

Job description

Greetings from Rootshell Inc..
Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US. We are actively seeking Customer Experience Data Insights Manager for one of our direct client in Redwood City, CA, Please share your resume with current location & full contact info
Job Title: Customer Experience Data Insights Manager
Location: Redwood City, CA
Duration: Long Term
Responsibilities
  • Articulate customer sentiment trends through data storytelling in a clear and concise manner, which can easily be consumed and understood by leadership.
  • Deliver against deadlines pertaining to pre-defined reports as per standard reporting cadence to support quarterly customer sentiment insights sharing.
  • Develop talking points to support delivery of reports to stakeholder group and answer complex questions pertaining to the report.
  • Partner closely with customer listening programs team to assist in the creation of surveys that will produce consumable and actionable data; consulting with business units on analytical approaches to consume insights
  • Weave together customer experience data from multiple data sources to determine trends, correlations and causal relations between variables.
  • Create and manage complex ad hoc reports, using insights from data exploration to build comprehensive reports with visualizations and insights, from structured and unstructured data.
  • Partner closely with IT to regulate data integrity processes, performing routine audits within business systems/platforms to ensure stringent data quality and accuracy.
  • Develop, maintain, and enhance Qualtrics customer experience dashboards and reports to drive efficiency and optimization within customer analytics.
  • Partner with stakeholders across multiple business units to drive efficient use of customer sentiment data, resulting in deeper analytics, broad insights sharing, and ultimately driving action to improve the customer experience.
  • Oversee Text Analytics engine to bolster accuracy of survey response topic assignments, applying structure to text rich datasets.

Skills:
  • 5-7 years of experience in data analytics, CX experience required.
  • Strong analytical and data storytelling skills, ideally with voice of customer data.
  • Advanced ability to generate, synthesize and make business sense of massive and complex data, both structured and unstructured.
  • Excellent verbal and written communication skills; ability to communicate effectively with different levels within the organization as well as collaborate with cross-functional business partners and technical teams.
  • Proficient in Microsoft Excel and PowerPoint, experience with Qualtrics and/or Tableau is a plus.
  • Highly organized, time management skills, ability to prioritize, and work independently with extreme attention to detail.
  • Creative thinker with ability to grasp concepts to works towards an end goal, without requiring step-by-step instructions.
  • Self-motivated, flexible, team player with solid multi-tasking, ability to manage multiple and often changing priorities.
  • Prior exposure and understanding of customer listening programs (ex. Net Promoter Score) is a plus.

Thanks & Regards,
Naveen

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