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Data Analyst

Work in close collaboration with the Senior Data & Insights Manager to deliver moviegoer insights to our exhibitor and studio clients. Reporting to the Head of Strategic Services within the Client Success team, the Data Analyst will play an essential role in supporting our global clients and extract actionable insights from Vista Group’s comprehensive moviegoer database.

The role involves helping clients who use our products directly, to measure the impact of their marketing efforts and improve their targeting and segmentation. You will also work with studios and 3rd party platforms who leverage moviegoer data to measure the impact of media spend. The role also involves generating insights into the composition and behaviour of movie audiences both for our clients, and the industry at large.

Please note: This full time role will be offered as an initial 12 month Fixed Term Contract.

About the role

  • Collaborate with the client success, data science and engineering teams to provide insight and analytics consulting services to clients
  • Work directly with studio clients, their agencies and 3rd party platforms to develop and deliver research and measurement solutions leveraging Vista Group’s comprehensive moviegoer dataset
  • Build, maintain and execute scripts and pipelines for marketing campaigns and for the generation of audience reports and campaign measurement reports directly within the Vista Group ecosystem, or via the integration with 3rd party platforms
  • Work with the data science, product, and engineering teams to design, build and troubleshoot client facing dashboards and reporting
  • Communicate insights and recommendations either verbally or in writing to business customers/leadership
  • Support the client-facing teams to create insights-driven presentations and white papers

About you

  • 3 years' experience working with business stakeholders to translate between data and business needs
  • Experience building ETL pipelines to compute performance metrics and drive dashboards

  • Strong verbal/written communication & data presentation skills, including an ability to communicate with both business leaders and technical teams
  • Direct experience working with social and digital platforms such as Meta, Amazon, Google to onboard datasets an advantage
  • Proficiency working with data in SQL and Python (Pandas, NumPy preferred)
  • Knowledge of statistical testing methodologies
  • Experience with BI tools (Tableau, PowerBI preferred)

  • Experience with cloud computing services & solutions (AWS, Azure, GCP, Amazon Marketing Cloud, Snowflake)
  • Experience working with very large datasets and distributed data processing technologies (Spark, DuckDB etc...)

We are only able to consider applicants with an existing right to live and work in the United Kingdom without the need for employer sponsorship.

About Vista

Vista Group is the global leader in providing technology solutions to the international film industry. With brands including Vista, Veezi, Movio, Numero, Maccs, Flicks and Powster, our expertise covers cinema management software; loyalty, moviegoer engagement and marketing; film distribution software; box office reporting; creative studio solutions; and movie, cinema and streaming content discovery.

With more than 700 crew based across six main offices, in New Zealand (Auckland headquarters), the USA, the UK, South Africa, the Netherlands, and Mexico, our people are our most important asset. Across the group brands our teams provide market-leading services to clients in more than 100 countries.

We are proud of our diversity and have placed a high priority on being an inclusive workplace that is reflective of our clients and communities. It is important to us to foster an environment that empowers people to realise their full potential. We aim to do ‘good things with good people’ and we’re proud to say that more than two decades on that’s exactly what we do every single day.

Shared Standards 

Our Shared Standards act as a compass for how we work together and reflect the behaviours we value at Vista Group. The way in which each member of our crew embodies these Shared Standards is an indicator for performance and success, as it aligns with our vision and strategy.   

One Crew 

  • We're a diverse team, in different places and functions, and we're at our best when we connect, help and collaborate

Shine a Light 

  • We communicate openly, we explain the why, and we ask when we don't understand. We don't leave people in the dark

Make it Happen 

  • We make good things happen as people and as teams through our focus on delivery

Chase Great 

  • We challenge ourselves and each other to keep improving

You will be supported to continually learn and improve your skills, share knowledge and ideas in the team, and be part of a dynamic and open culture.

We have a range of benefits that include:

  • Hybrid working (home/office based split, requiring regular weekly attendance in the London office)
  • 25 days Annual Leave increasing to 28 on the 4th year of service + public holidays
  • Royal London Pension 9% (employee 5% / employer 4%) contributions
  • R&R Fridays - half a day off every Friday fully paid
  • Annual Volunteer day
  • Enhanced Sick Pay, Bereavement Leave and Parental leave
  • 24 hour Employee Assistance Program services
  • Private Medical Health coverage for you and your family + Dental and Eye care contributions
  • Perkbox, with free perks each month, plus access to range of high street discounts and rewards
  • Discounted Gym memberships
  • Access to Salary Sacrifice scheme
  • Fun team social events throughout the year

If this sounds like you, get in touch to find out more

We value inclusivity celebrate diversity and are committed to offering equal opportunity to our staff and candidates — regardless of gender, age, race, ethnicity, marital status, disability, sex, sexual orientation, religious, ethical beliefs or political opinion. This commitment is reflected in all our employment policies and procedures.

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Average salary estimate

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What You Should Know About Data Analyst, Vista Group

As a Data Analyst at Vista Group, you will be at the heart of driving insights for our clients in the film industry. Collaborating closely with the Senior Data & Insights Manager, you’ll extract actionable insights from our extensive moviegoer database, helping both studios and exhibitors refine their marketing strategies. Your role will involve engaging directly with clients to assess the effectiveness of their campaigns and enhance their audience targeting and segmentation. You will not only be utilizing our rich data to inform clients but also developing reports and dashboards alongside our data science and product teams. With your strong background in SQL, Python, and experience with ETL pipelines, you will ensure that our analytics services are top-notch. You will also assist the client-facing teams in building insightful presentations that resonate with business leaders. This full-time position is an initial 12-month Fixed Term Contract, perfect for those with at least three years of experience who are eager to leverage their analytical skills in a vibrant setting. If you love working with data and are passionate about the film industry, this could be your next step in an exciting career with Vista Group, a frontrunner in technology solutions for cinema management, marketing, and distribution.

Frequently Asked Questions (FAQs) for Data Analyst Role at Vista Group
What are the key responsibilities of a Data Analyst at Vista Group?

As a Data Analyst at Vista Group, your primary responsibilities include collaborating with the Client Success team to provide insights and analytics consulting, working directly with clients to develop research solutions, maintaining data scripts for marketing campaigns, and generating audience reports. Additionally, you will communicate your findings to stakeholders and support teams in creating impactful presentations.

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What qualifications do I need to apply for the Data Analyst position at Vista Group?

To apply for the Data Analyst position at Vista Group, candidates should have a minimum of three years' experience working alongside business stakeholders, as well as proficiency in SQL and Python. Experience in data visualization tools like Tableau or PowerBI, and knowledge of cloud computing services such as AWS or Azure are also preferred. Familiarity with statistical methodologies and ETL pipeline construction will give your application an edge.

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How does Vista Group ensure a positive work culture for Data Analysts?

Vista Group prioritizes a positive work culture by promoting inclusivity and diversity among its teams. As a Data Analyst, you will be supported in your professional growth, encouraged to collaborate and connect with colleagues, and participate in team social events. The company also offers flexible working arrangements to enhance work-life balance.

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What tools and technologies will a Data Analyst at Vista Group typically use?

In the role of Data Analyst at Vista Group, you will work extensively with SQL and Python (especially libraries like Pandas and NumPy). You will also utilize BI tools such as Tableau and PowerBI for data visualization. Familiarity with cloud solutions like AWS, Azure, or GCP is advantageous, as you will be handling large datasets and potentially using distributed data processing technologies.

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Is there an opportunity for career advancement for Data Analysts at Vista Group?

Yes, there is ample opportunity for career advancement for Data Analysts at Vista Group. The company fosters an environment that encourages continuous learning and professional development. As you gain experience and enhance your skills, there may be opportunities to move into more senior data roles or transition into related areas within the organization.

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Common Interview Questions for Data Analyst
Can you describe your experience with SQL and how it relates to the Data Analyst role?

In your response, highlight specific projects or tasks where you used SQL to extract, manipulate, or analyze data. Mention how SQL has helped you derive insights or dashboards and emphasize your proficiency with complex queries or database management.

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How would you approach constructing an ETL pipeline?

Explain your understanding of the entire ETL process: extraction of data from different sources, transforming it into a suitable format, and loading it into a database or data warehouse. Provide examples of tools or languages you've used, and discuss how you ensured data quality during the process.

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What statistical methodologies are you familiar with and how have you applied them in past projects?

Discuss specific statistical tests or models you have implemented, such as regression analysis or hypothesis testing. Explain how these methodologies helped you make informed data-driven decisions and add value to your projects.

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Can you give an example of how you've communicated complex data insights to a non-technical audience?

Share a scenario where you successfully simplified technical jargon into easily digestible information for stakeholders. Focus on how you adapted your communication style, possibly through visual aids like charts or graphs, to ensure a clear understanding among your audience.

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What dashboarding tools are you proficient in and how have you utilized them in your previous roles?

Highlight the dashboarding tools you have used, such as Tableau or PowerBI, and describe instances where you created dashboards that effectively visualized key metrics or insights. Emphasize the impact these dashboards had on decision-making processes.

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How do you prioritize tasks when handling multiple projects?

Illustrate your time management strategies, such as setting deadlines, using project management tools, or prioritizing tasks based on impact. Share specific examples of how this approach helped you successfully meet project timelines.

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What is your experience in collaborating with cross-functional teams?

Discuss your background in working alongside different departments such as marketing, engineering, or data science. Provide examples that demonstrate your ability to communicate effectively and contribute to collaborative projects.

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Describe a challenging data-related problem you faced and how you resolved it.

Share a specific instance where you confronted a significant data challenge. Explain the steps you took to analyze the issue, the solution you implemented, and the overall outcome, emphasizing the skills you utilized during the process.

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How would you measure the success of a marketing campaign using data?

Explain the metrics you would track, such as ROI, customer engagement, or conversion rates. Discuss the importance of setting clear KPIs before the campaign launch and how you would use analytical tools to assess success post-campaign.

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What keeps you motivated in the field of data analysis?

Share your passion for using data to drive insights and business outcomes. Discuss how the evolving nature of data analysis, new technologies, and the ability to impact strategic decisions keeps you engaged and motivated in your role.

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Full-time, hybrid
DATE POSTED
April 23, 2025

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