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Junior Data Analyst/Science IRC185987
| Job | IRC185987 |
| Location | Poland - Krakow |
| Designation | Software Engineer |
| Experience | 1-3 years |
| Function | Engineering |
| Skills | Continuous Integration, Data Analysis, Data Science, Git, IBM SPSS, Python, SQL |
| Work Model: | Remote |
Description
We have an exciting opportunity for a Data Analyst/Science engineer to join our growing technology team within the WPP division, focusing on building technology products for some of the world’s leading media agencies. The successful candidate will work alongside developers and other members of the scrum teams.
About the division:
We like to say that we play with giants. That’s huge data sets, influential partners, and even bigger ambitions. But only because we’re here to make a difference. As WPP’s division, our mission is to create products that make advertising work better for people. With expertise in data science, audience insights, simulations, and automation, our 350-person strong team designs and builds software products that shape the global media ecosystem. With a partnership philosophy at the heart of everything we do, we team up with the world’s leading media and technology organizations — including Adobe, Amazon, Baidu, The Trade Desk, and Google — to develop innovative solutions and bring a unique competitive advantage to our portfolio of clients.
WPP and all its affiliates embrace and celebrate diversity, inclusivity, and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We are a worldwide media agency network that represents global clients. The more inclusive we are, the more great work we can create together.
Requirements
- 1+ year/s of experience analyzing large volumes of data
- Knowledge of R and Python and key data science libraries
- Engineering basics (understands CICD/repo/Gitlab/pipelines)
- Skills in data production (e.g. SPSS, SQL)
- Experienced in model fitting and forecasting
- Good analytical skills and strong statistical knowledge, as well as interest in applying them to complex problems
- A passion for empirical research and for answering hard questions with data
- Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
- Intermediate+ English
- Use systems and internal processes efficiently and integrate these into daily work
- Clear communication of insights and findings to stakeholders
- Experience with Snowflake is nice to have and will be a plus
- Experience with market research data is nice to have
Job Responsibilities
- Develops data production jobs in SPSS and SQL
- Preparares data for other tools (e.g. PowerBI)
- Runs ingestion pipelines on Snowflake
- The engineer also resolves ad hoc support tickets and basic data science investigations
- Works closely with client teams located in different EU countries
We Offer
Exciting Projects: With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules.
Professional Development: We develop paths suited to your individual talents through international knowledge exchanges and professional certification opportunities.
Excellent Benefits: We provide our employees with private medical care, sports facilities cards, group life insurance, travel insurance, relocation package, food subsidies and cultural activities.
Fun Perks: We want you to feel comfortable in your work, which is why we create good working environment with relax zones, host social and teambuilding activities and stock our kitchen with delicious teas and coffees!