(Senior) Data

3 tygodni temu

Wroclaw, Polska L.E.K. CONSULTING SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ Pełny etat

technologies-expected :
PowerBI
Qlik
SQL
Python

responsibilities :
Overview of the Data & Analytics team:
L.E.K.'s Data & Analytics function is focused on creating and deploying best-in-class capabilities to drive business results for our clients. The team comprises data scientists, data engineers, technical business analytics consultants, and product managers who work together to solve some of the most challenging business problems our clients have.
We drive the full analytics life cycle on client engagements: scoping and understanding business challenges, developing and maintaining robust data assets, creating and running innovative analytical techniques, generating compelling visualisations to communicate the findings / recommendations. We build, develop, and maintain innovative tools and applications for use across projects and for specific clients. We coach, mentor and train colleagues from across the business, on everything from what types of commercial problems analytical techniques can help solve to in-depth technical training for specific types of analysis.
This role is for a (Senior) D&A Specialist in L.E.K.'s rapidly growing Data & Analytics team. The primary focus of this role is to provide technical expertise: helping to execute on complex analytics across a wide variety of often fast-paced client engagements, helping to build innovative tools and applications that can help solve client’s commercial issues, helping to execute cutting edge analytical techniques, helping to drive technical roadmaps for the function and firm, and training our colleagues.
As part of a dynamic and growing team, there is every opportunity to carve out value added work, and to grow your skills and experience. You receive state-of-the-art training in a variety of domains, and lead the organisation to adopting new and innovative methods to solve our clients’ hardest questions. You won’t just be a technical expert: you will intersect between data analytics, and commercial business understanding, across a variety of domains to provide analytically driven recommendations to our clients.
Responsibilities:
Client engagements:
-Drive end-to-end data analytics modules from conceptualisation through to deployment
-Solve a wide variety of complex analytical challenges for clients, sometimes dynamically balancing multiple client engagements at one time
-Support clients in strategically leveraging technical models, guiding them through the interpretation of results and the integration of actionable insights into their business workflows
-Analytical needs can include: data aggregation / creation, data cleaning / manipulation, geospatial analysis, scenario modelling, and visualisations
IP development:
-Own the development of state-of-the-art analytical IP to solve complex problems
-Collaborate with a variety of stakeholders to continuously innovate on the IP, service lines and proprietary data assets we can offer
-Provide technical expertise and thought leadership on developing analytical tools, services lines, and proprietary data assets, and contribute to building these areas directly when applicable
-Uphold best-in-class standards in IP development, data integrity, and ensuring solutions are both scalable and maintainable
Client / business development
-When relevant, support Partners in developing and delivering client proposals where advanced analytics is critical to the scope of work
-Provide input into training / upskilling the D&A team provides to Partners to ensure they are aware of all of our current capabilities
Capability development
-Stay up to date on best-in-class software, tools, and techniques to ensure that we are able to provide clients with best-in-class solutions
-Support commercialisation and upskilling of staff on relevant software, tools and techniques
-Help drive the technical roadmap to ensure we are operating a best-in-class Data & Analytics function
-Mentor team members, contribute to technical capabilities of the team

requirements-expected :
Degree in a quantitative and/or business discipline preferred, examples include: Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, Economics
3-5 years’ of experience in applying data analytics to solve commercial problems
Strong knowledge, experience, and fluency in a wide variety of tools including Alteryx, Tableau
Technical understanding of other analytical tools or languages such as PowerBI, Qlik, SQL, Python, (cloud) data warehouses, data management / cataloguing is a plus
Hands-on experience with manipulating and extracting information on a variety of large both structured and unstructured datasets; comfort with best data acquisition and warehousing practices
Experience with commercial business analytics; experience at a consulting firm / agency is a plus
Proficient Excel, PowerPoint presentation and excellent communication skills, both written and oral; ability to explain complex algorithms to business stakeholders
Ability to achieve results through others; experience and proven success record working in matrix, agile and fast-growing environments; and assertive, intellectually curious and continuously driving towards excellence.

benefits :
sharing the costs of sports activities
private medical care
life insurance
fruits
integration events
coffee / tea

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