Technical Data Analyst Salary at Britbox BETA

How much does a Britbox Technical Data Analyst make?

As of April 2025, the average annual salary for a Technical Data Analyst at Britbox is $110,171, which translates to approximately $53 per hour. Salaries for Technical Data Analyst at Britbox typically range from $99,266 to $120,038, reflecting the diverse roles within the company.

It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.

DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.

Website:
britbox.com
Size:
50 - 100 Employees
Revenue:
$10M - $50M
Industry:
Business Services

BritBox is a digital video subscription service offering the largest collection of British TV in the U.S. and Canada. Created by two British content powerhouses-BBC Studios, the subsidiary arm of the BBC, and ITV, the UK's biggest commercial broadcaster-the service features iconic favorites, exclusive premieres, and current series and soaps-most available within 24 hours after their UK premiere. BritBox also offers expert curation and playlists that enable fans to easily find programs they know and discover new favorites via the web, mobile, tablet and connected TVs.

See similar companies related to Britbox

What Skills Does a person Need at Britbox?

At Britbox, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

  1. Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
  2. SQL: Structured Query Language) is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).
  3. Insight: Insight is the understanding cause and effect based on the identification of relationships and behaviors within a model, context, or scenario.
  4. Data Analysis: Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.
  5. Tableau: Using business intelligence software to perform data analysis, data visualization, and the BI process of an organization.

Related Jobs

Harnham
Chandler , AZ

About the Company: This client is a fundamental value investment firm focused on quality and value. Their machine learning initiatives are designed to augment and potentially replace research analysts in investigative journalism tasks. We foster an environment where passion for technology and innovation thrives. Role Responsibilities: Take over the management of the database, including permissions and architecture Create ETL pipelines to feedback into ML pipelines. Onboard new data sets and integrate them with existing ones. Convert more work to dbt as a first project. Convert high-priority tasks to Change Data Capture (CDC). Build and optimize ETL pipelines to remove bottlenecks. Ensure best practices in data governance and security. Technical Skillsets: 3+ years of proven industry experience, preferably in the finance sector. Strong Python experience in producing optimized and efficient code Proficiency in PostgreSQL, including specific optimizations. Knowledge of best practices in d


Sponsored
4/25/2025 12:00:00 AM
Emergent Software Ltd.
Hackensack , NJ

We’re seeking a skilled Data Engineer for a 12-month contract role, ideal for someone with a solid foundation in data analytics and engineering. This role involves working closely with both business and IT teams, utilizing data to generate valuable insights that support critical decision-making. If you have a few years of experience with cloud data warehouses, SQL, and Python, and enjoy collaborative work, we’d love to meet you! Responsibilities: Design, develop, and maintain data models and pipelines within a cloud data warehouse (preferably Snowflake). Conduct data analysis to extract insights and support business decisions. Collaborate with business stakeholders and IT to understand requirements and fulfill data needs. Write efficient SQL queries to manage and analyze large datasets. Develop Python scripts for data processing and automation. Requirements: Experience: 2-3 years in a data analyst or data engineering role. Technical Skills: Proficiency in SQL and Python. Cloud Data War


Sponsored
4/25/2025 12:00:00 AM
Synechron
New York , NY

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge We are seeking a hig


Sponsored
4/25/2025 12:00:00 AM
Themesoft Inc.
Tampa , FL

POSITION DETAILS: Role: Java Architect Location: Tampa, FL - Onsite Industry: Banking & Financial Services Experience: 12-15+ years Salary- $150K+ Benefits Mode of Hire - Full Time Ideal Background Participates in architecture governance bodies. Provide technical leadership to the team of Software Engineers/Analyst. Ensure application design adheres to the appropriate architectural and design patterns in the systems. Executes creative architecture solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions and break down technical problems. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. Design & develop scalable micro-services to build a functional component that will support Risk Management functions. Partner with the product management team and other stakeholders in brainstorming sessions


Sponsored
4/25/2025 12:00:00 AM
Senior Recruiter
Charlotte , NC

Capital Markets Data Analyst Hybrid – Charlotte, NC 12-month Contract (W2), Weekly Pay (40 hours/week) Pay Rate: $54/hr. Desired Start Date: 5/26/2025 Calculated Hire is in search of a Capital Markets Data Analyst for our Fortune 100 Financial Services company. This role is ideal for someone with a strong background in data analysis, financial markets, and a passion for regulatory compliance and risk analytics. You will support key stakeholders across risk, compliance, and trading functions by delivering actionable insights derived from large and complex datasets. You will be responsible for the following components: JOB DESCRIPTION: Extract, manipulate, and analyze large datasets using SQL to support reporting and decision-making processes across capital markets teams. Support the development and enhancement of regulatory reporting ensuring data accuracy and compliance with regulatory guidelines. Collaborate with risk and trading teams to understand market and counterparty risk exposu


Sponsored
4/24/2025 12:00:00 AM
Cummins Inc.
Columbus , IN

**DESCRIPTION** We are looking for a talented Technical Data Analyst to join our team specializing in Technical Information Systems for our Corporate Business at one of our Cummins Inc. locations, or if applicable, your remote home office, within the United States. In this early career role as a Technical Data Analyst, you will analyze our products and processes to identify trends/ insights, translate the data into stories and enable data assisted decisions. You will work with tasks and projects to apply statistical and graphical analysis and synthesize your findings in stories and reports for socialization with business stakeholders. As a Technical Data Analyst, you will: + Utilize principles of statistical, graphical analysis, and hypothesis led analysis to solve real world problems. + Leverage your data analysis results to synthetize your findings and translate them into stories to drive data assisted decisions. + Apply the principles of statistical, graphical analysis and hypothesi


Sponsored
4/24/2025 12:00:00 AM
Turn2Partners
Arlington , VA

In order to do this job well, you must be analytical, understand people, have a strong drive to use technology to solve the hardest problems, have business acumen, and want to learn everything, particularly about the most pressing national security challenges confronting the nation and how data and machine learning can help address them. Schedule: On-site 5 days a week in Arlington VA Available for up to 75% travel Required Skills: U.S. Citizenship is required Eligible for security clearance Bachelor’s Degree in International Relations, Political Science, International Security, Business Administration, Business Analytics, Economics, Mathematics, Computer Science, Data Science or similar fields, or 3-7 years of equivalent experience Strong familiarity/skills with SQL, Python, and/or R. Familiarity with other skills such as Excel, React, Typescript, Java, C, GoLang or the ability to quickly learn these skills are also desirable. 3-7 years experience performing national security-related


Sponsored
4/22/2025 12:00:00 AM
Eleven Recruiting
Los Angeles , CA

About Eleven Recruiting We are a specialized technology staffing agency supporting professional and financial services companies. Why do we stand out in technology staffing? We listen and act as advisors for our candidates on how they can best add value, find interesting projects, and pave a path for career advancement. We advocate for best pay, diversity in tech, and best job-fit for every candidate we place. Our client, an investment firm, is seeking an experienced Technical Data Analyst to join their team! Responsibilities: Lead the elicitation of technical business requirements gathering through interviews, workshops, and collaborative sessions with internal stakeholders (across front/middle/back-office) and external technology vendors. Solution design and validation while working with IT architects, developers, and third-party vendors to translate business requirements into technical specifications and ensure alignment with the firm's IT strategy. Analyze and document the integrat


Sponsored
4/21/2025 12:00:00 AM

Check more jobs information at Britbox

Job Title Average Britbox Salary Hourly Rate
2 Communications & Marketing Coordinator $202,331 $97
3 Copywriter $77,374 $37
4 Customer Service Manager $106,388 $51
5 Director, Legal & Business Affairs $217,969 $105
6 Director, Operations $203,718 $98
7 Executive Assistant $93,126 $45
8 Head of Analytics $221,443 $106
9 Manager, Finance $140,821 $68
10 Project Manager $123,093 $59
11 Senior Creative Producer $98,127 $47
12 Senior Product Manager $133,572 $64
13 Director, User Experience Design $223,244 $107

Hourly Pay at Britbox

The average hourly pay at Britbox for a Technical Data Analyst is $53 per hour. The location, department, and job description all have an impact on the typical compensation for Britbox positions. The pay range and total remuneration for the job title are shown in the table below. Britbox may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $110,171 look to you?

FAQ about Salary and Jobs at Britbox

1. How much does Britbox pay per hour?
The average hourly pay is $53. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
2. What is the highest salary at Britbox?
According to the data, the highest approximate salary is about $120,038 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
3. What is the lowest pay at Britbox?
According to the data, the lowest estimated salary is about $99,266 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
4. What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.