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Senior Data Analyst

Togather started life as Feast It, in 2017, as a booking platform for people to book street food caterers for their birthday parties and weddings. Since then, we have grown to become the UK’s biggest events platform as Togather for food, drink, venues, photographers and so much more.

We’re here to help people make amazing memories on some of the biggest and best days of their lives. Whether they’re planning the whole-company summer party, hosting an epic dinner party, or running an entire festival, we can - and do - help with all of it.

None of this would be possible without our amazing community of partners, who we handpick from across the country.

We’ve worked with everyone from Amazon, Nike, and London Pride, to Tom Cruise, Star Wars, and Taylor Swift. Within the office, we recently came #7 in the Startups 100 Awards and have been named in the top 15 in Tempo's 50 Best Places To Work. Our team truly love and care about what they do, which makes working here that much easier.

The Role:

We are looking for a Senior Data Analyst to lead our data strategy in the business. Our vision is that data informs the beginning and end of every decision that we make, and this means the role will work closely with all areas of the business to empower and elevate their decision making. In line with our squads model, this role will help explore big business questions such as modelling and forecasting, as well as contribute to the product discovery process and champion better insights and analytics.

You'll report to our Head of Product  but find yourself interacting with the wider senior management team. We're looking for someone who is independent, autonomous, passionate about showing what can be achieved with data and about creating a culture that encourages people to learn through.



Your responsibilities:

Own business as usual reporting & analysis:

  • Being a proactive consultant for our internal teams, deriving insights that can be used to improve performance
  • Working with commercial, product, growth and marketing teams to define their data analysis requirements & provide ongoing analysis
  • Creating and sharing compelling data-driven stories to audiences of varying analytical literacy
  • Developing our dashboarding within Looker to enable teams to self-serve their data requirements
  • Being a champion/leader for data in the organisation, and helping upskill internal team members
  • Data classification and analysis from 3rd parties as part of our Live events

Provide project teams with data insights:

  • Support project teams with data insights to focus on the highest impact changes, prioritise effectively and measure results
  • Working with senior management teams to plot key business strategic direction using data

Developing our data stack alongside our Engineering team:

  • Helping design, document and maintain data stack system processes
  • Working with our engineering team to improve any issues with our data stack and BI
    Tools
  • Collaborate with our engineering team to iterate and improve on our machine learning Matchmaking model
  • Work along with the team and business with ongoing A/B testing and analysis

Ideally you will have a breadth of experience in extracting insights across many different data sources (e.g. relational databases, Google Analytics, Segment, Split.io), transforming data via DBT, and visualising those insights using a range of tools (e.g.

Looker, Google Sheets).

  • Experience in defining and creating metrics for consumption by our BI tool and other services
  • Experience using data visualisation tools. We use Looker and experience here will be a big bonus, but other tools & experiences are of course still relevant.
  • Adept at executing end-to-end analytics projects: gathering requirements, defining measures of success, validating data sources and analysis methods, delivering insights and presenting to stakeholders to ensure the key insights and recommendations are identified and delivered
  • Experience in analysing data to draw business-relevant conclusions and in data visualisation techniques and tools
  • Advanced SQL skills and experience transforming data with DBT
  • Excellent understanding of commercial KPIs with strong ability in storytelling, providing proactive as well as reactive insight.
  • Team player with strong interpersonal, relationship-building, and stakeholder management skills
  • Strong written and verbal communication skills including technical writing skills
  • Logical and creative thinking skills: you can approach a problem, applying logic and creativity
  • Data classification and analysis from 3rd parties as part of our Live events
  • You'll be the core of our data team, and  so you'll need comfortable and effective working independently

Our offices are in London and we work with a hybrid model which requires a minimum of 3 days a week in the office.

We are passionate about equal opportunities and improving the tech industry for the better, so if you are from an underrepresented background then we would particularly love to hear from you.

  • Overtime / TOIL policy
  • Learning & Development budget (Health & Safety, CAD, Project Management, Sales & Partnerships…)
  • Team wellness and social budget
  • Partnership with Health Assured with EAP service
  • 25 days + Bank Holidays annual leave allowance
  • Hybrid working policy with a working from home budget (currently 3 days office, 2 days WFH)
  • Over & Above award (£100 restaurant voucher)
  • Partnership with Mintago - enhanced pension and financial support
  • Generous option awards
  • Cycle to work scheme
  • Invites and ticket to food and event industry events
  • Significant discounts at London’s best restaurants and bars
  • A great parental leave policy
  • We are a climate positive workforce through our partner Ecologi
  • A top of the range Macbook to work on
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Average salary estimate

$80000 / YEARLY (est.)
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$70000K
$90000K

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What You Should Know About Senior Data Analyst, Togather

Are you a data enthusiast ready to take the lead as a Senior Data Analyst at Togather? Founded in 2017 as Feast It, we've evolved into the UK’s premier events platform, connecting people with everything from food to photography for their special moments. As we strive to make every celebration memorable, we need a passionate Senior Data Analyst to spearhead our data strategy. In this dynamic role, you'll work closely with commercial, product, growth, and marketing teams to extract actionable insights, drive performance improvements, and define data analysis needs. You’ll also be responsible for creating compelling, data-driven stories that inform decision-making across the company. With a focus on developing our data stack and collaborating with our engineering team, you’ll help enhance our machine learning matchmaking model, execute A/B testing, and support project teams to prioritize impactful changes. If you thrive in an autonomous environment, relish the challenge of making data accessible to all, and possess a strong grasp of SQL, Looker, and various analytics tools, Togather could be your new home. You’ll join an innovative company recognized for its commitment to our partners and passion for creating unforgettable experiences—plus, you'll enjoy a flexible hybrid work model and numerous perks that enhance your work-life balance. Come help us turn data into powerful insights and champion a data-driven culture at Togather!

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

As a Senior Data Analyst at Togather, your key responsibilities include owning business as usual reporting and analysis, providing data insights to project teams, and improving our data stack in collaboration with the engineering team. You will work proactively with internal teams to derive insights that enhance performance, and you'll also support senior management in plotting key business strategies using data.

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What qualifications are necessary for the Senior Data Analyst role at Togather?

Candidates for the Senior Data Analyst position at Togather should ideally possess advanced SQL skills, experience in data visualization tools like Looker, and a strong understanding of commercial KPIs. Additionally, you should have experience in executing end-to-end analytics projects and a knack for effective storytelling through data, so you can present insights to stakeholders clearly.

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How does the Senior Data Analyst collaborate with other teams at Togather?

The Senior Data Analyst at Togather works closely with various teams, including commercial, product, growth, and marketing. You’ll help define their data analysis requirements, develop dashboards to enable self-service analytics, and be a champion for data within the organization to help upskill other team members.

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What tools and technologies will a Senior Data Analyst use at Togather?

As a Senior Data Analyst at Togather, you will utilize a variety of tools and technologies, primarily Looker for data visualization, SQL for data querying, and DBT for transforming data. Familiarity with Google Analytics, Segment, and A/B testing tools is also beneficial in this role.

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What is the work environment like for a Senior Data Analyst at Togather?

The work environment for a Senior Data Analyst at Togather is collaborative and dynamic, with a minimum of three days spent in the London office. Togather fosters a culture of innovation and continuous learning, making it an ideal place for data professionals who want to make an impact in the events industry.

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

In answering this question, highlight your proficiency in SQL, mentioning specific projects where you've used it to extract and analyze data. Discuss how you leverage SQL to derive insights and deliver impactful analytics, underscoring your familiarity with complex queries and data manipulation.

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How do you prioritize data analysis requests from multiple teams?

When responding to this question, explain your approach to managing competing priorities. Discuss techniques you use to assess the impact and urgency of data requests, and you may highlight your experience in collaboration and communication with stakeholders to ensure alignment on priorities.

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What tools have you used for data visualization, and how do you choose the right one for a project?

In your response, mention your experience with various data visualization tools, particularly Looker, as relevant to Togather. Discuss how you evaluate project requirements, audience expectations, and the data being presented to determine the most effective tool for communicating insights.

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Describe a time you turned complex data into a compelling story.

For this question, provide a specific example where you transformed complex data into an understandable narrative that influenced decision-making. Discuss the steps you took to analyze the data, visualize it effectively, and present it to stakeholders in a way that was engaging and actionable.

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What strategies do you employ to ensure data integrity?

In your answer, share the strategies you implement to uphold data integrity, such as regular audits, validation checks, and clear documentation. Emphasize the importance of accuracy in analytics and how it contributes to reliable decision-making at Togather.

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How do you stay current with emerging trends in data analytics?

To answer this, discuss your methods for staying updated with the latest data analytics trends, which may include attending webinars, participating in professional communities, following industry blogs, and continually honing your technical skills through courses and certifications.

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What is your approach to working with stakeholders who have varying levels of analytical literacy?

When tackling this question, emphasize your adaptability and communication skills. Discuss how you assess the audience's analytical background and adjust your explanations and presentations to ensure clarity, making complex concepts accessible to everyone involved.

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Can you give an example of a successful A/B test you've conducted?

In your response, narrate a specific A/B test scenario you’ve executed, detailing the goals, metrics you used to measure success, and the insights that emerged. Highlight the impact of your findings on decision-making and strategies within a project or team.

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How do you handle errors or unexpected results in your data analysis?

Share your methodology for identifying, rectifying, and learning from errors in data analysis. Emphasize the importance of thorough validation processes, reproducibility, and open communication with your team to address and resolve discrepancies effectively.

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What role does storytelling play in your analysis work?

In addressing this, articulate how storytelling enriches your analysis by weaving data insights into a narrative that resonates with stakeholders. Discuss how you craft narratives that illustrate the significance of data findings and drive meaningful discussions based on your analysis.

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FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
March 22, 2025

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