Data Analyst

Warszawa - Polna 11

PwC

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Job Description & Summary

PwC Poland’s Business Intelligence & Data team comprises over 50 specialists. We help our clients design and implement a strategic and sustainable approach to capitalizing on the value of their data and boosting business results. We collaborate with organizations in various industries to develop solutions tailored to their needs.

We are looking for:

Data Analyst

Your future role:

  • Delivering data processing & data analytics DA projects using range variety of robust data mining tools (e.g. T-SQL, R, Python, SAS, VBA) for international clients (mainly working remotely with UK-based clients),

  • Data transformation, data modeling and data cleansing for the purposes of various business processes - among others journal entry testing / JET, reconciliations, account mapping, advanced analytics, advanced calculations, Process Mining analyses, and many many more,

  • Creating automated data workflows in Alteryx and application development using PowerQuery, PowerBI, DAX, MS Excel, VBA,

  • Review of codes used by the Clients and which are necessary to be understood by the business teams,

  • Development of other internal tools for business teams using various programming languages (e.g. Python, SQL, VBA, Google Script),

  • Solving complex technical issues and puzzles,

  • Helping in management and delivery of large scale projects.

Apply if you have:

  • Analytical skills with the ability to collect and analyze large datasets and draw appropriate conclusions (using e.g. Python / R),

  • Knowledge of data querying technologies (e.g. SQL) and basic knowledge about programming languages for process automations (e.g. VBA, UIPath, Alteryx),

  • Understanding the problems associated with data analysis from designing the solution (Data Mining / Machine Learning / Statistics) through its implementation (R / Python / SQL) to visualizing the results (PowerBI / Qlik / Tableau),

  • Strong interpersonal and communication skills - necessary in everyday cooperation with clients and international teams,

  • Ability to solve complex problems,

  • Excellent written and verbal communication skills – in Polish and English.

By joining us you gain:

  • Work flexibility - hybrid working model, flexible start of the day, workation, sabbatical leave,

  • Development and upskilling - our full support during onboarding process, mentoring from experienced colleagues, training sessions, workshops, certification co/financed by PwC e.g. (Certified Data Management Professional) and conversations with native speaker,

  • Medical and wellbeing program - medical care package, mindfulness, psychological support, education through dedicated webinars and workshops, financial and legal counseling, 

  • Possibility to create your individual benefits package (a.o. lunch pass, concierge, veterinary package for a pet, massages) and access to a cafeteria - vouchers, discounts on IT equipment and car purchase, 

  • 3 paid hours for volunteering per month, 

  • Additional paid Birthday Day off,

  • And when you start enjoying PwC as much as we do, you may recommend your friend to work with us.

Recruitment process:

  • Submit your resume,

  • Have a short phone conversation with our Recruiter,

  • Let's get to know each other better in the interview!

Should you have any questions, please do not hesitate to reach out to us: pl_ITrecruitment@pwc.com. 

Please note that this email is not designated for application submissions.

Your personal data will be processed for recruitment purposes by PwC Advisory sp. z o.o. sp.k. or another PwC entity which runs a recruitment process - (list of entities). If you have given separate consent, data will also be processed for other purposes in accordance with the content of the consents granted. Full information about processing your personal data is available in the Privacy Policy.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  10  3  0
Category: Analyst Jobs

Tags: Business Intelligence Data analysis Data Analytics Data management Data Mining Excel Machine Learning Power BI Privacy Python Qlik R SAS SQL Statistics Tableau Testing T-SQL

Perks/benefits: Career development Flex hours Lunch / meals Medical leave Paid sabbatical

Region: Remote/Anywhere

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