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Data Analyst - Afternoon shift

Join SpotOn as a Data Analyst to build dashboards and drive insights for customer-facing teams in a fast-paced environment.

Location
Kraków, Lesser Poland Voivodeship, Poland
Compensation
PLN 12.5k–PLN 15.7k/mo
Level
mid
Type
full time · On-site

Posted by employer 2 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 5 days ago

Apply at SpotOn → Save job Scanned from spoton.com

AI in the day-to-day

Leverages Gemini-powered AI to surface performance insights and identify operational gaps.

Requirements

Experience
3+ years
Education
Bachelor's degree

Not disclosed in this posting: visa sponsorship.

Benefits

Education Budget Free Snacks Company Parties Health Insurance Relocation Assistance

Joblaze summary

In this role, the Data Analyst at SpotOn focuses on building and maintaining performance dashboards and reports to aid decision-making for customer-facing teams. Key skills include proficiency in SQL for data extraction from Snowflake, along with experience in Power BI and Metabase for visualization. This position is ideal for someone with at least three years of analytics experience, particularly in customer service or SaaS environments, who can effectively communicate insights to stakeholders. SpotOn emphasizes a supportive culture, aiming to empower independent restaurants with data-driven solutions.

Joblaze insights

Quick facts

Is the Data Analyst - Afternoon shift role remote?
No — this is an on-site role in Kraków, Lesser Poland Voivodeship, Poland.
What's the salary range?
SpotOn lists PLN 12,500–PLN 15,700 for this role.
How much experience is required?
At least 3 years of relevant experience for this Data Analyst - Afternoon shift role.
Where is the role based?
SpotOn is hiring for this position in Kraków, Lesser Poland Voivodeship, Poland.
What's the tech stack?
Joblaze extracted these technologies from the posting: Excel, Gemini, Google Sheets, Metabase, Power BI, SQL.
What seniority level is this role?
SpotOn targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Data Analyst - Afternoon shift role at SpotOn.

From the original posting

About SpotOn

We’re not just building restaurant tech, we’re giving independent restaurants the tools to compete and win. From our award-winning point-of-sale to AI-powered profit tools, everything we do helps operators boost profit, work smarter, and keep their best people. And every solution is backed by real humans who actually give a sh*t about helping restaurants succeed.

  • Named the #1 Restaurant POS by G2 (Summer 2026), based on ratings from real users

  • Rated the top-rated point-of-sale (POS) for restaurants, bars, retail, and small businesses by Capterra users

  • Awarded Great Places to Work and Built In’s Best Workplaces for multiple years running

We move fast, care hard, and fight for independent restaurant operators to do what they love, and love doing it. If you’re looking to make an impact with heart and hustle, SpotOn is the place for you.

The Data Analyst builds and maintains performance dashboards and reports that support operational decision-making across customer-facing teams. This role queries data from Snowflake, develops structured visualizations in Power BI and Metabase, and leverages Gemini-powered AI to surface performance insights, identify operational gaps, and recommend data-driven improvements. The analyst owns recurring weekly, monthly, and quarterly reporting cycles and contributes to bonus and incentive calculation processes.

On a daily basis, you will:

  • Build and maintain performance dashboards and scorecards in Power BI and Metabase for multiple CS teams.

  • Write and optimize SQL queries in Snowflake to extract, transform, and load data for reporting.

  • Own the weekly, monthly, and quarterly reporting cadences across customer-facing teams.

  • Analyze individual agent and team performance metrics to support bonus and incentive decisions.

  • Apply Gemini and AI workflows to generate actionable insights, identify operational gaps and bottlenecks, and propose concrete improvements to team processes and performance.

  • Maintain clean, well-documented spreadsheets for performance tracking and ad hoc analysis.

  • Partner with CS leaders to align metrics and KPI definitions with business objectives.

  • Conduct variance analysis and support root-cause investigation for performance gaps.

  • Deliver high-quality, accurate work by adhering to SOPs, SLAs, and data quality standards.

  • Identify and address process gaps or reporting errors to drive continuous improvement.

What skill are we searching for?

  • Proficiency in Snowflake (writing SQL queries, understanding schemas, working with large datasets).

  • Hands-on experience with Power BI and Metabase (data modeling, report building, DAX basics).

  • Advanced spreadsheet skills (Excel/Google Sheets): pivot tables, complex formulas, data cleaning.

  • Working knowledge of AI tools such as Gemini for insight generation, operational gap analysis, and improvement recommendations across customer-facing teams.

  • Solid understanding of CS operational metrics (CSAT, retention, productivity, performance scores).

  • Strong analytical mindset with ability to translate data into actionable insights.

  • Effective communicator with experience presenting findings to business stakeholders.

  • Availability to work in afternoon hours between 2:00-10:00 pm.

Previous Experience

  • Minimum 3 years of experience in data analytics, business intelligence, or a related role.

  • Demonstrated experience supporting customer-facing departments (CS, Sales, Support) with performance data.

  • Experience in fintech or SaaS environments preferred.

Education

  • Bachelor's degree in Data Analytics, Statistics, Computer Science, Business Administration, Finance, or related field required.

  • Any of the following certifications is preferred: Microsoft Certified: Data Analyst Associate (Power BI), Snowflake SnowPro Core Certification, Google Data Analytics Professional Certificate, Certified Analytics Professional (CAP), AI/ML or Data Science certificates (Coursera, edX, etc.).

  • An equivalent combination of education and experience may be considered.

Here’s a bit about what we have to offer:

  • Competitive pay: 12500 - 15700 PLN gross on CoE

  • Access to e-learning platforms

  • Fully paid private healthcare in LuxMed

  • Access to the Worksmile platform with a monthly top-up

  • Subsidized access to breakfast and lunch through the vending machine in Kraków office, and lunches in Gdańsk office once a week

  • A laptop and essential work equipment provided by the company

  • New, modern, bright and comfortable office space in the city centre

  • A lot of free parking spots around the office

  • Access to the company’s library

  • Great working atmosphere

  • Chill out room with a PlayStation and games

  • Free snacks and beverages in a kitchen

  • Company parties and social activities

  • Employee referral program

  • Relocation Package within Poland

The controller of your personal data included in your job offer and others collected during the recruitment process is SpotOn Poland spółka z ograniczoną odpowiedzialnością with its registered office in Kraków, Aleja 29 listopada 20, 31-401 Kraków, e-mail address:
poland-rodo@spoton.com. We will process your personal data for the purpose of current or, if you voluntarily agree, also future recruitment processes. More information about how we proccess your data, including the basis for processing and your rights in relation to the processing, can be found on our website: https://pl.spoton.com/privacy-and-cookies-policy.

Administratorem podanych danych osobowych, w tym danych zawartych w dokumentach aplikacyjnych i zebranych w toku procesu rekrutacji, jest SpotOn Poland Sp. z o.o. z siedzibą w Krakowie (ul. Aleja 29 listopada 20, 31-401 Kraków; adres e-mail do kontaktu:
poland-rodo@spoton.com. Dane osobowe będą przetwarzane w celu realizacji obecnych lub – jeżeli wyrazisz na to dobrowolną zgodę – także przyszłych procesów rekrutacji. Więcej informacji o tym, jak przetwarzamy Twoje dane, w tym także informacje o podstawach prawnych przetwarzania oraz o prawach przysługujących Ci w związku z przetwarzaniem danych, znajdziesz na stronie:
https://pl.spoton.com/privacy-and-cookies-policy.

We will never ask candidates to pay fees, purchase equipment, or share sensitive personal or financial information during the hiring process. All legitimate communication from our recruiting team will come from an official company email address (@spoton.com). If something seems suspicious, please contact us at careers@spoton.com.

SpotOn is an equal employment opportunity employer. Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.

Work authorization in the U.S. is required. Visa sponsorship is not available for this role.

SpotOn is an E-Verify company.

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