Senior Data Analyst

Published: Tue, 04 Feb 2025 08:52:08 GMT

Position: Senior Data Analyst

Company Overview:

Ocean is a leading credit platform in the UK, dedicated to improving the financial well-being of individuals who are not served by mainstream financial services. With over 30 years of experience, we strive to make a positive impact on our customers by providing them with informed decisions and access to personal finance products.

Job Description:

As a Senior Data Analyst at Ocean, you will utilize your analytical skills and inquisitive mindset to drive actionable insights that support business decisions and enhance customer outcomes. You will collaborate with various stakeholders, transform complex data, develop analytical solutions, and effectively communicate your findings. We are looking for someone who thrives in a fast-paced environment and is passionate about pushing the boundaries of what is possible.

Responsibilities:

1. Analyze complex datasets to identify customer behavior patterns and product performance insights, and provide actionable recommendations to stakeholders.
2. Design and build automated dashboards and reports using tools like Power BI or Tableau to track key business metrics and support data-driven decision making.
3. Collaborate with business teams to understand their analytical needs and develop solutions that drive business value.
4. Write and optimize SQL queries to extract and analyze data from multiple sources, ensuring accuracy and efficiency.
5. Present insights and recommendations to senior stakeholders, utilizing data to tell compelling stories that drive action.
6. Analyze market trends and the competitive landscape.
7. Have the opportunity to work on other projects, such as evaluating the potential impact of new products and setting up analytical frameworks.

Requirements:

1. Minimum of 4 years of experience in data analysis or business intelligence roles.
2. Advanced skills in SQL and Excel.
3. Knowledge of Python for data analysis.
4. Experience with statistical analysis and data manipulation.
5. Proficiency in data visualization tools (e.g., Tableau, Power BI).
6. Experience in the financial services or fintech sector.
7. Strong problem-solving and analytical thinking abilities.
8. Strong commercial acumen with an understanding of key business metrics.
9. Excellent written and verbal communication skills.
10. Highly proactive and takes ownership of their work.

Preferred Qualifications:

1. Previous experience in the digital consumer credit space.
2. Experience using Google Analytics or other market insight platforms.
3. Experience with data transformation tools and practices (e.g., dbt, Spark SQL) to build and maintain basic data pipelines.
4. Experience working with cloud data warehouses (e.g., Databricks).
5. Experience with A/B testing and experimentation.
6. Knowledge of machine learning concepts and applications.
7. Background in mathematics, business analytics, computer science, economics, engineering, or a related field.

Values:

At Ocean, we live and breathe our values: Openness, Trust, Humility, Professionalism, Respect, and Passion.

What We Offer:

1. Competitive salary with yearly reviews.
2. A welcoming and collaborative team environment.
3. An open-minded culture that encourages sharing of ideas.
4. The necessary equipment to work from home, with the option to work from our Manchester or Cyprus offices.
5. A pension scheme to plan for life after work.
6. Eye test vouchers and access to an employee assistance program for health and well-being.
7. 25 days of annual leave, public holidays, and a day off on your birthday.
8. Training, mentoring, and support for your professional development and career goals.
9. Regular online and in-person team socials, as well as team retreats.
10. Optional community days for volunteering.
11. Flexible benefits through the Ocean Health Plan, including dental and private medical insurance.

Ocean is an equal opportunities employer and encourages applications from all qualified candidates, regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity.

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