Data Analyst

Hirenza.in; Greater London; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A global media company based in London is seeking a Data Analyst or Data Scientist to develop data systems and dashboards that influence strategic decisions. Ideal candidates will have experience in data analysis, proficiency in SQL and Python, and excellent communication skills. This position offers a hybrid work model, comprehensive benefits including healthcare coverage, a pension scheme, and opportunities for professional development. Join a dynamic team focused on data-driven decision-making.

Benefits

Flexible working arrangements

25 days of annual leave

BUPA healthcare coverage

Employer-matched pension scheme

Life assurance coverage

Travel insurance

Subsidised gym memberships

Opportunities for learning and development

Two volunteering days annually

Employee assistance programme

Qualifications

• Proven experience in data analysis or data science within a commercial environment.
• Strong understanding of data structures, relational databases, and data manipulation techniques.
• Hands-on experience creating reports and dashboards from scratch using BI tools.

Responsibilities

• Building and maintaining seamless data systems.
• Decoding trends across various products to inform strategic planning.
• Developing dashboards and reports that provide real-time insights.

Skills

Data analysis

SQL

Python

BI tools (Power BI, Tableau, Domo)

Communication skills

Financial modeling

Education

Relevant degree or professional qualification (e.g., ACCA, CIMA)

Tools

Salesforce Media Cloud

NetSuite

Job description

About The Company

HAYS is a globally recognized leader in recruitment and workforce solutions, renowned for connecting talented professionals with leading organizations across diverse industries. With a strong presence in multiple countries, HAYS specializes in providing tailored staffing solutions that meet the unique needs of each client. The company prides itself on its extensive network, industry expertise, and commitment to delivering exceptional service. HAYS’s mission is to facilitate meaningful employment opportunities while supporting organizations in building high-performing teams that drive business success.

About The Role

We are offering a compelling opportunity for a Data Analyst or Data Scientist to become a vital part of a well-established global media business based in London. This is a permanent position designed for a professional who excels in transforming complex data into strategic insights that influence business decisions. The successful candidate will work closely with both technical and commercial teams, playing a key role in the company’s global planning processes. Your primary focus will be to develop and maintain data systems, create insightful dashboards, and leverage advanced analytics tools to uncover trends, forecast future scenarios, and support strategic initiatives. This role involves collaborating across departments to optimize data flow, enhance reporting standards, and implement innovative solutions such as predictive modeling and machine learning. The position offers a unique chance to work within a dynamic environment where data-driven decision-making is core to the company’s growth and success.

Qualifications

• Proven experience in data analysis or data science within a commercial environment, with the ability to translate technical solutions into actionable business strategies.
• Strong understanding of data structures, relational databases, and data manipulation techniques.
• Hands‑on experience creating reports and dashboards from scratch using BI tools such as Power BI, Tableau, or Domo.
• Experience collaborating with cross‑functional teams, including commercial partners and business leaders, to deliver insights and support decision‑making.
• Knowledge of the retail or e‑commerce sectors is advantageous but not essential.
• Self‑motivated, curious, and eager to undertake new challenges in a greenfield environment.
• Excellent communication skills, capable of articulating technical concepts to non‑technical stakeholders.
• Practical experience in financial and data modelling.
• Proficiency in SQL for data querying and extraction.
• Experience using Python for data exploration, shaping, and analysis of complex datasets.
• Background in finance, with a relevant degree or active professional qualification such as ACCA or CIMA.
• Ability to connect data insights directly to business outcomes and results.

Responsibilities

• Building and maintaining seamless data systems that translate raw numbers into compelling business narratives.
• Decoding trends across various products, pricing strategies, and markets to inform strategic planning.
• Developing and evolving dashboards and reports that provide real‑time insights into business performance.
• Collaborating with cross‑functional teams to optimize data flows and improve data‑driven decision processes.
• Exploring predictive models and machine‑learning techniques to forecast future trends and customer behaviors.
• Delivering clear, actionable insights that empower teams to make customer‑centric decisions.
• Utilizing a sophisticated tech stack, including Salesforce Media Cloud, NetSuite, and other tools, to analyze data and generate clarity.
• Enhancing reporting quality by transforming complex data into straightforward visualizations for stakeholders.
• Identifying gaps in data and processes, surfacing opportunities for growth and innovation.
• Engaging in financial forecasting, modelling, and storytelling through data analysis.
• Participating in global collaboration efforts, connecting insights across departments to support long‑term strategic goals.
• Leading the transition to a new BI platform (Domo), including system implementation and user training.
• Designing intuitive dashboards and providing training to empower teams in self‑service analytics.
• Maintaining relevance and freshness in reporting, ensuring insights are timely and impactful.

Benefits

• Flexible working arrangements with a hybrid model of one day in the office and four days remote per week, following successful training and probation.
• 25 days of annual leave, with rollover options, plus bank holidays. The company also observes shutdowns on Christmas Eve and New Year’s Eve.
• BUPA healthcare coverage for comprehensive medical support.
• Employer‑matched pension scheme (employee 3%, employer 5%).
• Life assurance coverage at four times the salary.
• Travel insurance for business and personal needs.
• Support for eye tests and glasses required for computer use.
• Subsidised gym memberships to promote health and wellness.
• Opportunities for learning and development, including access to training resources (excluding formal study support).
• Two volunteering days annually to give back to the community.
• Employee assistance programme offering confidential support services.