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Flexible Data Coding Jobs in California (NOW HIRING)

Data Scientist

Santa Clara, CA · On-site

$130K - $150K/yr

Write both experimental and production code and translate research-stage models into components ... Flexible Spending Account (FSA) and Health Savings Account (HSA) plans * Life, Short-Term ...

Data Scientist

Santa Clara, CA · On-site +1

$130K - $150K/yr

Write both experimental and production code and translate research-stage models into components ... Flexible Spending Account (FSA) and Health Savings Account (HSA) plans * Life, Short-Term ...

Data Scientist

San Leandro, CA · On-site

$145K - $190K/yr

MHD codes such as USim, FLASH, or HYDRA-class; or DPF-specific codes such as Lee model or GORGON ... Flexible time off. Take what you need, no accrual tracking. * 2 weeks of paid time off built into ...

MHD codes such as USim, FLASH, or HYDRA-class; or DPF-specific codes such as Lee model or GORGON ... Flexible time off. Take what you need, no accrual tracking. * 2 weeks of paid time off built into ...

Data Engineer 3

San Jose, CA · Hybrid

$65.49/hr

Consult in the refinement of existing models, adding new ideas to make the result more flexible and ... Document and demonstrate solutions by developing design documentation, code comments, presentations ...

Leverage and mentor others in the use of AI assistive engineering tools such as Claude Code, GitHub ... Flexible PTO, monthly half-day refuels, volunteer time off, 10 paid holidays * Own Your Day ...

We also provide free Shakeology, onsite gyms, flexible work hours, and cool product discounts. Are ... to code and test this data migration effort. * Work with engineers to analyze results of ...

We also provide free Shakeology, onsite gyms, flexible work hours, and cool product discounts. Are ... to code and test this data migration effort. * Work with engineers to analyze results of ...

Data Engineer III

Los Angeles, CA · Hybrid

$123K - $148K/yr

Write clean, maintainable, and well-documented API and code while adhering to industry best ... Flexible time off policies allowing you to take the time you need to be your whole self. * Generous ...

Showing results 21-40

Flexible Data Coding information

What is flexible data coding?

Flexible data coding jobs involve categorizing, labeling, or organizing data according to specific guidelines, often for use in research, machine learning, or business analytics. These roles are typically remote or offer flexible hours, allowing workers to complete tasks on their own schedule. The work may include tagging images, transcribing audio, classifying text, or entering information into databases. Flexible data coding jobs are popular for those seeking part-time or remote work and often require attention to detail and basic computer skills.

What are some common challenges faced in a flexible data coding role, and how can they be managed?

In a Flexible Data Coding role, professionals often encounter challenges such as handling large volumes of unstructured data, ensuring consistency in data labeling, and adapting quickly to changing project requirements. Effective communication with team members and clear documentation of coding protocols can help maintain accuracy and efficiency. Utilizing automated tools where appropriate and staying updated on coding standards also greatly assists in overcoming these challenges and delivering high-quality results.

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

To excel as a Flexible Data Coder, you need strong analytical skills, attention to detail, and a solid understanding of data management or coding systems, often supported by a degree in computer science, information systems, or a related field. Familiarity with coding languages (such as SQL, Python, or R), data entry platforms, and data quality assurance tools is typically required. Strong problem-solving abilities, adaptability, and effective communication help professionals address data discrepancies and collaborate with diverse teams. These skills and qualities ensure accurate data processing, maintain data integrity, and support efficient decision-making within organizations.

What is the difference between Flexible Data Coding vs Data Analyst?

AspectFlexible Data CodingData Analyst
Required CredentialsBasic coding skills, possibly certifications in data managementDegree in statistics, data science, or related field; often certifications in analytics tools
Work EnvironmentData entry, coding, and database management in various industriesData analysis, reporting, and visualization in corporate or research settings
Employer & Industry UsageUsed across industries for data organization and coding tasksCommonly employed in finance, marketing, healthcare, and tech sectors

Flexible Data Coding focuses on coding and organizing data efficiently, often with basic programming skills. Data Analysts interpret and analyze data to inform business decisions, requiring more advanced analytical skills. While both roles work with data, their core functions and skill requirements differ significantly.

What are the most commonly searched types of Data Coding jobs in California?

The most popular types of Data Coding jobs in California are:

What cities in California are hiring for Flexible Data Coding jobs?

Cities in California with the most Flexible Data Coding job openings:

Analyst, Licensing Analytics

Glendale, CA • On-site

Other

Medical, Life

Posted 9 days ago


Key responsibilities

  • Develop and facilitate analysis linked to retail and licensee data, industry insights, and support for financial forecasts and performance evaluations.

  • Support retail and marketing teams by translating insights into strategies, forecasting sales, planning activations, and measuring strategy effectiveness.

  • Create dashboards and visualizations, consolidate findings, and develop presentations for senior executive forums.


Job description

Analyst, Licensing Analytics

Disney Consumer Products (DCP), part of The Walt Disney Company, brings Disney’s iconic stories and characters to life through innovative partnerships. By collaborating with best-in-class brands, from global industry leaders to emerging innovators, DCP translates storytelling into compelling products that resonate with consumers and drive cultural relevance across the marketplace.

About the Role & Team

Do you love using data to answer complex questions? Then you may be interested in learning more about Licensing Analytics team at Disney Consumer Products!

Our mission is to put our data assets to work and apply quantitative techniques to discover previously unknown insights about our licensing partners, retailers and consumers. We work directly with the major decision-makers who shape the Disney Consumer Products experience. Through our insights, we help form and improve Disney offerings.

This role sits in Glendale, CA and reports to the Manager, Integrated Retail Sales.

What You Will Do

As part of the Americas Licensing Analytics team, we develop and facilitate analysis linked to owned retail and licensee data enhanced through industry insights. We also facilitate analyses and projects across cross-functional teams with collaboration across data partners. This includes support for financial forecast, evaluation of theatrical performance, sizing campaign ROI and ad-hoc analysis socialized with senior executives.

While every single day will be different, with rotating priorities, the main themes for this role include supporting a team of:

  • Retail & Marketing Leaders:Support the Retail & Marketing organization develop the right strategies to drive demand and focus on discovering and translating insights to identify opportunities, pitch partners, forecast sales, plan activations, inform business decisions and measure the effectiveness of strategies.

  • Creative Problem Solvers: Our team navigates limited data availability and inconsistency. A key part of this role will involve identifying appropriate external data sources, reconciling data sets, identifying proxies, and clearly communicating the assumptions behind the analysis.

  • Retail & Marketing | Commercial Experts:The team leverages data to support retail & marketing | commercial decision-making. We convert freeform ideas into structured solutions. This includes closely partnering with data scientists & technology partners to link the right data assets to the proper analytical techniques to provide solutions.

  • Data Coders & Visualizers:Our team uses knowledge of visualization techniques to create compelling dashboards and intelligence tools to enable ease of interpretation of commercial performance metrics. This involves having the team code the backend processes to quickly access needed data and develop decks that synthesizes complex data into a compelling story.

  • Critical Thinkers & Storytellers:Our team acts as business impact multipliers – analyzing performance to determine actionable insights and transforming those insights into a story that helps our partners drive what happens next.

You will also:
  • Collaborate across partner teams to consolidate a synthesized conclusion of findings and recommendations.

  • Benchmark industry to provide new perspectives and fresh options to consider and test

  • Build compelling decks and presentations that can be used in senior executive forums.

  • Groom a backlog of ongoing requests for data discovery and insight. This can include researching new ways to solve commercial questions using data and analysis.

  • Be willing to be flexible with changing business needs and adaptable with work requests.

Required Qualifications & Skills
  • Must be a service-oriented, problem-solver, quick learner and great teammate/partner.

  • Experience in compiling, validating, and translating relevant data from multiple sources

  • Strong analytical and critical thinking skills to piece together different data points

  • Proven competency in data collection, data mapping / attribution, design, data analysis and data quality control

  • Time-management skills, with ability to prioritize multiple requests and communicate status to team leaders & partners

  • Strong written and verbal communication skills, with the ability to communicate complex ideas and develop concise recommendations

  • Comfort in working in ambiguity to determine the questions that should be answered and the approach and partners needed to get there

  • Technical proficiency in these data technology subject areas:

    • Data pipeline technologies and ETL tools and languages such as SQL, SSIS, Knime, Alteryx, Tableau Prep

    • Database technologies such as Snowflake, SQL Server

    • Data Visualization and Consumption Tools such as Tableau, Microstrategy, Power BI, Business Objects

    • Data warehouse and data lake architecture

    • Scripting languages such as Snowscript, Javascript, VBA, Python - Preferred

Preferred Qualifications
  • Experience working with large scale retail systems data

  • Experience working with cloud platforms/technologies

  • Experience with machine learning

Preferred Education
  • Bachelor’s Degree in Math, Statistics, Computer Science, Engineering, Business or relative work experience

Our Benefits:

Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at https://jobs.disneycareers.com/benefits

The hiring range for this position based in Glendale, CA is $79,400.00-$106,400.00. The base pay actually offered will take into account internal equity and may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, depending on the level and position offered.

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