At a Glance
- Tasks: Transform complex data into clear insights and support teams in using data effectively.
- Company: Join Hearst Networks, a vibrant company with award-winning brands and a collaborative culture.
- Benefits: Enjoy a hybrid work model, competitive salary, and a supportive environment for growth.
- Other info: Be part of an inclusive team that values diversity and encourages personal and professional development.
- Why this job: Make a real impact by driving data governance and strategic decision-making across the business.
- Qualifications: Experience in data analysis, strong communication skills, and a passion for learning new technologies.
The predicted salary is between 37800 - 46200 £ per year.
The Data Solutions Analyst will be a key member of the PMO, partnering with teams across the business to embed and operationalise our data governance strategy.
The role will work closely with all teams in the business to understand challenges and opportunities in relation to their work with data in their day-to-day activities.
As part of our small PMO team, you’ll report to the Director of PMO and work closely with the Business Analyst and Senior Project Co-ordinator.
You’ll be as comfortable turning complex data into clear, useful insights as you are working with stakeholders to understand their needs and identify opportunities to create business value.
Working in a lean team you will help the team to prioritise the data related work and to apply your expertise to fixes and projects, including implementing simple, effective solutions directly where appropriate.
The role will be key to creating and maintaining methods for the company to map our data.
The DSA will encourage a culture of using data to drive strategic and operational decision-making and processes.
The ideal candidate has strong analytical and technical skills, a curiosity for understanding patterns and learning new skills, for example AI, and has the ability to communicate insights clearly to both technical and non-technical stakeholders.
This is a permanent position.
This role will be hybrid based in the London office, working for our business that operates exciting, award-winning brands like Sky HISTORY and Crime+Investigation.
Key Responsibilities
- Data Quality, Governance & Strategy
- Create and maintain a data dictionary and method for mapping our data.
- Assist in managing and validate project-related data.
- Ensure compliance with data standards.
- Assist the Director of the PMO to establish a data board.
- Train teams on data entry standards, reporting processes, and dashboard usage.
- Assist in cleaning data to ensure accuracy.
- Business partnering
- Meet with and shadow internal teams regularly to get a full understanding of the different teams' use of data, challenges and opportunities.
- Work with internal teams to help them understand the context of data changes.
- Meet and work with external vendors to maintain good partnerships and to assist translating and presenting needs from the business for any change requests.
- Manage and own a consistent way of reporting requirements from the teams to inform the prioritisation cycle.
- Assist the Director of the PMO to assess activity and resources for projects from around the company.
- Share information on latest changes and enhancements and train internal teams.
Requirements Gathering & Analysis
- Engage with stakeholders to understand business objectives, challenges, and constraints with their data.
- Work with different groups including the AI working group to identify and implement opportunities.
- Conduct interviews, workshops, surveys, and data analysis to gather detailed data requirements.
- Translate complex data needs into clear, actionable requirements that can be understood by stakeholders of different levels.
- Ensure stakeholders understand the wider context of their data requirements.
- Solution Design, Collaboration & Implementation
- Design and implement solutions that can be achieved within the skillset of the role.
- Design, build and maintain practical data solutions, including API integrations and automated data workflows, where appropriate to the role’s skills and agreed technical standards.
- Partner with Technology to ensure data solutions align with agreed technical architecture, security and standards.
- Connect business systems and data sources; transform, validate and document the data exchanged between them.
- Test integrations and investigate issues such as failed requests, unexpected data and changes to source systems.
- Work with Technology and external vendors to agree secure, supportable approaches, escalating solutions that require wider architectural or engineering input.
- Document solutions and provide guidance so teams can use and maintain them reliably.
- Key Competencies & Person Specification
- Ability to Manage Multiple Priorities and Deliverables
- Analytical & Critical Thinking
- Excellent communication & Data Storytelling
- Stakeholder Engagement
- Strong senseof ownership
- Minimum Requirements
- Experience as a cross-functional Data Analyst or Business Analyst.
- Comfortable moving between analysis, stakeholder support, data quality, documentation and implementation as business priorities change.
- Experience gathering data and reporting requirements, analysing business questions and supporting the delivery of data-led solutions.
Experience improving data quality, reporting processes or analytical workflows.
- Experience working with internal stakeholders and external partners to deliver data, reporting or platform improvements.
- Working knowledge of Python for preparing, combining and validating data, including familiarity with basic ETL workflows using pandas, and working in Jupyter notebooks.
- Understanding of APIs, authentication, error handling and basic integration testing.
- Ability to build small, maintainable solutions and recognise when work needs support from Technology or a specialist engineer.
- Strong skills in Excel and SQL.
- Ability to work with O365 tools to create workflows and display data.
- Ability to self-learn about automation and AI.
Desirable Requirements
- Ability to create clear, compelling dashboards using tools such as Tableau, Power BI, or Looker.
- Experience with Qlik.
- Experience in a Project Management Office or project-driven environment.
- Experience with AI tools, AI agentic workflows and vendors.
About Us
At Hearst Networks, we share stories that matter, inspiring and exciting our audiences with hit US franchises The Curse of Oak Island, Pawn Stars, must-see docudramas Original Gangsters with Sean Bean, and original commissions The Tattooist’s
Son: Journey to Auschwitz, KURSK: 10 Days That Shaped Putin, Bradley
Walsh: Egypt’s Cosmic Code.
Over the past few years, we’ve championed our own original programming and relished in the successes of recent series’ such as Secrets Declassified with David Duchovny, Great Escapes with Morgan Freeman, The Prison Confessions of Gypsy Rose Blanchard and most recently Emmy nominated World War II with Tom Hanks.
We welcome talented candidates with infectious enthusiasm and creativity, who love what they do, and are ready to learn, develop and thrive.
Here you’ll find a community of innovative, collaborative and inspiring people who aren’t afraid to embrace responsibility and try new things together, as a team.
We are a certified Great Place to Work® with a motivated and supportive culture that believes in working to live, not just living to work.
Every employee has a voice and is encouraged to be themselves and be ambitious.
With offices in Rome, Madrid, London, Warsaw, Munich and Johannesburg, we are a truly international organisation that celebrates difference and diversity.
As an inclusive employer, we value the diversity of our teams and want our workforce to reflect our wider society.
We encourage and welcome applications from people from under-represented backgrounds and are keen to make sure we are inclusive and accessible to all.
Please do let us know if you require any adjustments or assistance for meetings and communications with you when you apply for a role with us.
Hearst Networks Values
Curiosity is what drives us to question, explore, and innovate.
We approach challenges with an open mind, ready to grow and evolve as the world changes around us.
When we stay curious, we keep learning, discovering fresh opportunities, and pushing the boundaries of what’s possible.
Courage is showing up as your true self, with confidence and heart, even when the road ahead feels uncertain.
It’s about owning our choices, stepping beyond our comfort zone, and creating new paths and opportunities to explore for both our company and yourself.
Care is part of everything we do - how we treat each other, approach our work, connect with our partners and the world.
It’s about creating a culture where everyone feels included, respected, and truly supported.
By acting with care, we nurture trust within our teams, building meaningful relationships throughout our company.
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Data Solutions Analyst employer: Hearst Networks
At Hearst Networks, we pride ourselves on fostering a dynamic and inclusive work culture that empowers creativity and innovation. As a part-time Senior Short Form & Social Lead in London, you'll enjoy the flexibility of hybrid working while collaborating with passionate professionals dedicated to producing engaging content for our esteemed channels. With ample opportunities for professional growth and a commitment to aligning personal goals with our brand's vision, Hearst Networks is an exceptional employer for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Solutions Analyst
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Hearst Networks.
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We think you need these skills to ace Data Solutions Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Hearst Networks, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hearst Networks. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Hearst Networks
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Hearst Networks!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
