You will manage data analytics consulting projects - propose solutions, gather business and technical requirements, supervise implementation of data and technology solutions
You will collaborate with team members on client projects to develop data-driven solutions for complex challenges, playing a pivotal role in project delivery while building and maintaining strong relationships with clients and stakeholders.
You will assist in designing, developing and implementing management information products, analytical solutions and raw data extraction processes, guide the team on quality validation techniques, and leverage your extensive data expertise to ensure accurate data ingestion throughout the pipeline. You will also provide insights on transforming raw data into informative visualizations to support management decisions.
You will lead the development of data tools for transformation, management, and access, while advising the team on writing and validating code to enhance the resilience of data storage and platform availability.
You will oversee the implementation of performance monitoring protocols in data pipelines, mentoring the team on creating visualizations and aggregations to track pipeline health. Additionally, you’ll coach the team on implementing solutions to reduce failure points across multiple product features.
You will support the identification of data governance requirements, oversee the design of data modeling and handling processes to ensure legal and policy compliance, and manage data accessibility within your pipelines.
You will prepare team members for stakeholder meetings, addressing data requirement concerns by offering your guidance. You’ll also assist in evaluating data costs, access, usage, use cases, dependencies, and availability for business or customer scenarios related to one or more product features and coach your staff members to develop them further.
In addition to the above, you will keep up with latest Technology and Anti Financial Crime trends and work on internal initiatives developing new value propositions for our Clients
requirements-expected :
4+ years experience in data/business analytics, data engineering or data modeling project delivery (preferably for Financial Services sector)
Experience in data governance, data stewardship, or a similar role would be an asset
Analytical and results-oriented mindset
Ability to identify and address client needs, develop and maintain meaningful client relationships
Understanding of statistical analytics methods and the ability to apply these in the appropriate circumstances
Experience in data querying technologies (e.g. SQL) and programming languages for process automations (e.g. Python, VBA)
Knowledge of data visualization/dashboarding technologies (e.g. Power BI, Tableau)
Proficiency in agile methodologies
Experience scaling and managing team of 5+ persons
University degree (preferred in Statistics, Econometrics, Mathematics, Computer Science, Big Data)
Excellent written & spoken English with great communication skills
offered :
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 and conversations with native speaker,
Wide medical and wellbeing program - medical care package (incl. dental care, freedom of treatment, physiotherapy), coaching, mindfulness, psychological support, education through dedicated webinars and workshops, financial and legal counselling,
Possibility to create your individual benefits package (a.o. lunch pass, insurance packages, 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.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
life insurance
employee referral program
Employee Assistance Program
birthday day off
additional benefits e.g. medical pet care, lunch pass
