Data Operations Analyst in London

Data Operations Analyst in London

London Full-Time 36000 - 60000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Manage business applications and create insightful reports using Azure and Power BI.
  • Company: ActiveViam is a fast-growing financial data analytics provider, trusted by top financial institutions.
  • Benefits: Enjoy a friendly work environment, hybrid options, competitive salary, and professional growth opportunities.
  • Other info: Join a vibrant team dedicated to optimising revenue operations and enhancing data-driven decision-making.
  • Why this job: Make a real impact in financial services while collaborating with industry experts in a dynamic team.
  • Qualifications: Bachelor’s degree and 3+ years in data analysis; strong skills in Azure, Power BI, and SQL required.

The predicted salary is between 36000 - 60000 € per year.

Join to apply for the Data Operations Analyst role at ActiveViam

Join to apply for the Data Operations Analyst role at ActiveViam

If you believe that data analytics can contribute to making Financial Services a more accountable and risk-aware business in an ever-increasing volatile environment, ActiveViam is the right place for you.

ActiveViam is a fast-growing financial data analytics solution provider and our Mission is to empower the Financial Services Industry to be ready for the unexpected. Built for and trusted by leading financial institutions, ActiveViam delivers active intelligence for complex financial analytics.

It combines unrivalled technology, continuous innovation and exceptional people to unlock the power of real-time and granular data at scale. Designed as a high-performance semantic layer, ActiveViam’s flagship product Atoti, allows clients to implement built-in front office and risk business solutions while accessing customizable technology.

ActiveViam is present in the world’s leading financial marketplaces with presence in London, New York, Singapore, Sydney, Hong Kong, Paris and Frankfurt.

Our 150+ employees take pride in being experts in developing and supporting a purpose-built analytics technology that have been awarded multiple times by industry publications and experts.

Choose to be different. Join ActiveViam and make a difference in data analytics for the financial services industry.

About the Role

We’re looking for a Data Operations Analyst with approximately 3-5 years of experience to join our

team. This role will focus on managing business applications and leveraging data mining methods that design decision-support business reports. You’ll work extensively with Azure, Power BI, and various business tools to ensure seamless data integration, analysis, and reporting, with support and guidance from the team lead.

In this role, you will work shoulder-to-shoulder with the VP of Operations and Strategic Finance, and collaborate closely with department heads across Sales, Customer Success, Professional Services, Marketing, IT, HR, and Finance to understand data needs. This position requires solid business acumen, the ability to effectively communicate complex data insights to executives, and vice versa, translating business requirements into technical specifications, with support from the VP of Ops.

You’ll be responsible for conducting analysis of key performance metrics from diverse data sources, including JIRA, CRM systems (Pipeliner and Hubspot), and platforms like Bamboo and Delight. With expertise in Azure and Power BI, you’ll be instrumental in managing business applications and designing impactful, decision-support reports that drive data-informed strategies across the organization.

About the team

Join a dynamic Ops team dedicated to optimizing revenue operations and data analytics in the

financial services industry. Collaborate with experienced professionals to support ongoing projects and activities, contributing to the company’s mission of delivering cutting-edge analytics solutions to our clients worldwide.

Key Duties

  • Manage and optimize business intelligence applications, primarily using Azure and Power BI,

ensuring data integrity and reliability.

  • Develop and maintain integrations across Pipeliner and HubSpot, Bamboo, Delight, Jira, and

other internal tools.

  • Perform data mining to uncover patterns, trends, and insights, enhancing decision-making

processes.

  • Design, build, and maintain interactive dashboards and visual reports, translating complex

data insights for key stakeholders.

  • Collaborate across departments to gather reporting requirements and translate them into

scalable, effective BI solutions.

  • Continuously improve and automate data workflows for greater efficiency and accuracy.

Your profile, required

  • Bachelor’s degree in Business, Data Science, Computer Science, or a related field.
  • 3+ years of experience in business intelligence, data analysis, data engineer or a similar role.
  • Strong proficiency in Azure and Power BI, with hands-on experience in building and

maintaining data model and dashboards.

  • Experience with integrations for tools like Pipeliner/HubSpot (or other CRM), Bamboo,
  • Delight, Jira, and other business applications.
  • Advanced data manipulation and analysis skills, particularly with SQL and data modelling
  • Strong analytical thinking and problem-solving skills, with a keen attention to detail with a

commitment to maintaining data accuracy and quality

  • Effective communication skills to translate complex data findings into actionable business

insights.

  • Ability to prioritize tasks, manage time effectively, and work in a fast-paced environment

Ideally you also

  • Demonstrate a proactive attitude and eagerness to learn and grow in the field of operations

or related areas

  • Show enthusiasm for collaborating with cross-functional teams and contributing to team goals
  • Interest in not only building data models but understanding its business impact

What we offer

  • Bright, genuinely sociable and friendly working environment in London’s West End
  • Opportunity to work with industry experts in a fast-paced and innovative environment
  • Competitive salary and benefits package
  • Hybrid working options
  • Collaborative company culture with regular team events and activities
  • Professional growth opportunities and support for ongoing learning and development
  • Impactful work that contributes to making the financial services industry more accountable and risk-aware

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Information Technology
  • Industries

    Software Development

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Data Operations Analyst in London employer: ActiveViam

ActiveViam is an exceptional employer, offering a vibrant and collaborative work culture in the heart of London’s West End. With a focus on professional growth and continuous learning, employees are empowered to make impactful contributions to the financial services industry while enjoying competitive salaries, hybrid working options, and regular team events that foster camaraderie and innovation.

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Contact Detail:

ActiveViam Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Operations Analyst in London

Tip Number 1

Familiarise yourself with Azure and Power BI, as these are crucial tools for the Data Operations Analyst role. Consider taking online courses or tutorials to enhance your skills and demonstrate your commitment to mastering these platforms.

Tip Number 2

Network with professionals in the financial services industry, especially those who work with data analytics. Attend relevant meetups or webinars to gain insights and potentially make connections that could lead to referrals.

Tip Number 3

Prepare to discuss how you've used data to drive business decisions in previous roles. Be ready to share specific examples of how your analytical skills have positively impacted your team or organisation.

Tip Number 4

Research ActiveViam's products and their impact on the financial services sector. Understanding their mission and how they leverage data analytics will help you align your answers during interviews and show your genuine interest in the company.

We think you need these skills to ace Data Operations Analyst in London

Data Analysis
Business Intelligence
Azure
Power BI
SQL
Data Modelling
Data Integration

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights relevant experience in data analysis, business intelligence, and tools like Azure and Power BI. Use specific examples that demonstrate your skills in managing business applications and data integration.

Craft a Compelling Cover Letter:In your cover letter, express your passion for data analytics and how it can enhance the financial services industry. Mention your experience with data mining and your ability to communicate complex insights effectively.

Showcase Technical Skills:Clearly outline your technical skills related to Azure, Power BI, and any CRM systems you've worked with. Provide examples of how you've used these tools to create impactful reports or dashboards.

Highlight Collaboration Experience:Since the role involves working closely with various departments, emphasise your experience in cross-functional collaboration. Share instances where you gathered reporting requirements and translated them into effective BI solutions.

How to prepare for a job interview at ActiveViam

Know Your Tools

Familiarise yourself with Azure and Power BI, as these are crucial for the Data Operations Analyst role. Be prepared to discuss your experience with these tools and how you've used them to create impactful reports or dashboards.

Understand the Business Context

Since the role involves translating complex data insights into actionable business strategies, make sure you understand the financial services industry. Research ActiveViam's mission and how data analytics can enhance accountability and risk awareness in this sector.

Prepare for Technical Questions

Expect questions that assess your analytical thinking and problem-solving skills. Be ready to demonstrate your knowledge of SQL and data modelling, and think of examples where you've successfully managed data integrity and reliability.

Showcase Your Communication Skills

Effective communication is key in this role. Prepare to explain complex data findings in simple terms, and think of instances where you've successfully collaborated with cross-functional teams to meet reporting requirements.