ZipRecruiter

Log In

1

Periscope Data Jobs in California (NOW HIRING)

Apex Informatics

Data Scientist

Pleasanton, CA · On-site

Periscope, Business Objects, D3, ggplot, etc. Top Daily Responsibilities: 1. Support Data-Science and other analytics as needed. 2. Develop SQL queries and data sets 3. Develop business and client ...

All JobsPeriscope Data JobsPeriscope Data Jobs in California

Periscope Data information

See California salary details

$9

$32

$76

How much do periscope data jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for periscope data in California is $32.65, according to ZipRecruiter salary data. Most workers in this role earn between $15.54 and $46.37 per hour, depending on experience, location, and employer.

How does a data analyst at Periscope Data typically collaborate with other teams to drive data-driven decisions?

At Periscope Data, data analysts work closely with cross-functional teams such as product, marketing, and engineering to gather requirements, understand business objectives, and deliver actionable insights. They frequently participate in meetings to clarify data needs, present findings, and recommend strategies based on their analyses. Effective communication and collaboration are key, as analysts often translate complex data into accessible reports and dashboards that inform decision-making across the organization.

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

To thrive as a Periscope Data Analyst, you need strong analytical skills, proficiency in SQL, and experience with data visualization, typically supported by a background in statistics, mathematics, or computer science. Familiarity with Periscope Data (now part of Sisense), BI tools, and data warehousing systems is essential. Attention to detail, problem-solving ability, and effective communication are vital soft skills for translating data insights to stakeholders. These competencies enable accurate data analysis, clear reporting, and impactful business decisions.

What is Periscope Data?

Periscope Data is a business intelligence (BI) and data analytics platform that enables organizations to analyze, visualize, and share data insights. It allows users to connect to multiple data sources, write SQL queries, and create interactive dashboards and reports. Periscope Data is widely used by data analysts and business teams to make data-driven decisions and streamline reporting processes. In 2019, Periscope Data merged with Sisense, and its features are now part of the Sisense analytics platform.

What is the difference between Periscope Data vs Data Analyst?

AspectPeriscope DataData Analyst
Primary RoleData visualization, dashboard creation, data analysisInterpreting data, reporting, supporting decision-making
Skills & ToolsSQL, Python, data visualization tools, BI platformsExcel, SQL, statistical analysis, reporting tools
Work EnvironmentData teams, analytics departments, tech companiesBusiness units, marketing, finance, operations
CertificationsSQL, data analysis, BI certificationsNone required but often preferred: Microsoft Excel, Google Data Studio

Periscope Data specializes in advanced data visualization and dashboard creation using SQL and programming tools, primarily supporting data teams. Data Analysts focus on interpreting data, generating reports, and providing insights across various business functions. While both roles require SQL skills, Periscope Data emphasizes technical dashboard development, whereas Data Analysts focus on data interpretation and communication.

What are popular job titles related to Periscope Data jobs in California? For Periscope Data jobs in California, the most frequently searched job titles are:
What job categories do people searching Periscope Data jobs in California look for? The top searched job categories for Periscope Data jobs in California are:
Periscope Data jobs near you
Infographic showing various Periscope Data job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $67,905 per year, or $32.6 per hour.

Data Scientist

Apex Informatics

Pleasanton, CA • On-site

Contractor

Re-posted 10 days ago

Job description

Job Details: Data Scientist
Location: Pleasanton, CA
Top Skill:
Qualifications for Data Scientist Strong problem solving skills with an emphasis on product development.
Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests anritaprikhodkod proper usage, etc.) and experience with applications.
Experience manipulating data sets and building statistical models, has a Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software tools: Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
Knowledge and experience in statistical and data mining techniques: GLM Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc
Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience using web services: Redshift, S3, Spark, , etc.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
Experience analyzing data from 3rd party providers: Client Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Client Insights, etc. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
Top Daily Responsibilities:
1. Support Data-Science and other analytics as needed.
2. Develop SQL queries and data sets 3. Develop business and client facing reports
Skills a Top Candidate Should Have:
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
  • Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience analyzing data from 3rd party providers: Client Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Client Insights, etc.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Desired Skills:
  • Strong problem solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • We're looking for someone with experience manipulating data sets and building statistical models, has a Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with software.

Skills:
1. Excellent Communication Skills.
2. Ability to work with business to gather report requirements.
3. Team player. Custom Job Description: If you have a custom job description that you would like to use. Please paste it here: Knowledge and experience with large data sets, event streams and distributed computing (Hive,Impala,Hadoop etc.) Ability to gather requirements and develop reports in tool selected by business and KPIT.

Apply