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Senior Data Analyst

Remote:

Hybrid

Experience:

Mid-level (2-5 years)

Work from:

Tallinn (EE)

Offer summary

Qualifications:

Bachelor's/Master’s degree in relevant fields, 3+ years experience with large datasets, Strong SQL, Python/R, BI tools skills.

Key responsabilities:

Analyze support metrics and identify trends
Develop reports and dashboards for teams
Suggest KPIs, provide insights to improve processes
Collaborate with internal teams on data analysis

Bolt Fintech: Finance + Technology Unicorn https://bolt.eu/

1001 - 5000 Employees

HQ: Tallinn

See more Bolt offers

Job description

Your missions

<gh-intro>
<text>

We are looking for a Senior Data Analyst to be a central part of the operational side of the Customer Support team and play a pivotal role in shaping the future of data analytics, fueling growth, optimizing operations, and improving current analytical processes. The Senior Data Analyst will be a strategic partner to numerous internal and cross-functional teams, supporting them with analytical and strategic guidance.

</text>
</gh-intro>

<gh-about-us>
<title>About us</title>

<text>

With over 150 million customers in 45+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

</text>

</gh-about-us>

<gh-role-detail>

<title>About the role</title>

<text>

As a Senior Data Analyst in Customer Support, you excel in data analysis and statistical modeling, proficiently processing, and analyzing large datasets. Your strong communication skills enable you to effectively share insights with stakeholders. With solid business acumen, you analyze customer support metrics, identify trends, and develop reports or dashboards for various teams, helping to improve customer service processes and procedures.

</text>
</gh-role-detail>

<gh-responsibilities>

<title>Main tasks and responsibilities:</title>

<point>Analyzing customer support metrics.</point>
<point>Identifying trends or patterns in customer issues.</point>
<point>Developing reports or dashboards for the CS and other teams.</point>
<point>Suggesting key performance indicators (KPIs) for the CS Operations Team.</point>
<point>Providing insights to improve customer service processes and procedures.</point>
<point>Enabling external supplier's Data Analysts with required data feeds and reporting guides.</point>
<point>Implement data quality assurance practices to ensure accuracy and reliability of analysis.</point>
<point>Working with financial data.</point>

</bulletpoints>
</gh-responsibilities>

<gh-requirements>

<title>About you:</title>

<point>Bachelor's/Master’s degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or Business.</point>
<point>At least 3 years of experience dealing with large volumes of data.</point>
<point>Outstanding SQL skills and a solid grasp of Python/R for data analysis.</point>
<point>Fluent with at least one of the BI tools (Looker, Tableau, PowerBI, Qlik, DataStudio, Metabase, etc) and data visualization in general.</point>
<point>Experience in consulting or a fast-growth company.</point>
<point>Strong collaborator with excellent communication skills in English (both verbal and written).</point>

</bulletpoints>
<text>

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!
</text>
</gh-requirements>

<gh-perks>

<point>Play a direct role in shaping the future of mobility.</point>
<point>Impact millions of customers and partners in 500+ cities across 45 countries.</point>
<point>Work in fast-moving autonomous teams with some of the smartest people in the world.</point>
<point>Accelerate your professional growth with unique career opportunities.</point>
<point>Get a rewarding salary and stock option package that lets you focus on doing your best work.</point>
<point>Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork.</point>
<point>Take care of your physical and mental health with our wellness perks.</point>

</bulletpoints>
<text>*Some perks may differ depending on your location and role.</text>
</gh-perks>

#LI-Hybrid