JOB DESCRIPTION Job Description:SQA Senior Data Analyst (f/m/x)in Mars Global ServiceLocation: Warsaw/ BrazilHybrid working* Fully virtual recruitment experience *What will be your key responsibilities?Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products.Automate solution to scale while delivering in an agile manner.Create data visualization tools on complex data sets and interpret mathematical models such as graphs, tables, metrics, and schematics to provide insights to SQA regional teams, Business partners, and stakeholders.Lead development and improvement of project related KPIs. Ensure user centric storytelling with data.Identify correlations/patterns to unlock potential for quality improvements, risks, synergies, efficiency gains, cost savings etc. Prepare recommendations and alternatives based on analysis to standardize or make processes more efficient and/or reduce costs.Drive and apply predictive analytics to anticipate crisis, non-conformances etc.Ensure data-based assessments of supplier risk portfolios.Drive and apply analytical tools to optimize specifications and processes.Set data analytics standards within the team.Key partner for Risk Experts within the SQA and R&D community to deliver new risk tools and applications as well as ensure relevance and customer focus of delivered insights.Accelerate adoption of tools, communicate benefits to end users and stakeholders' groups.Identify new opportunities for technology (tools/apps/insights).What are we looking for?University degree (., Bachelor) in IT, Analytics, Mathematics, Engineering, Statistics, Bioinformatics, Finance, Computer science or related fields.3 + years of professional experience in data analytics and 2 + years of experience in leading projects with a multi-functional team.Expertise in Master Data Management or Data Architecture.Experience working with big data platforms such as Hadoop ecosystem (Azure), including in-memory solutions (SAP HANA and Apache Spark) and data visualization tools (Tableau, Power BI, D3, ggplot, .Advanced analytical skills, including the ability to quickly synthesize, distil and draw conclusions on large amounts of disparate data.Ability to work independently in global structures and cross-cultural interactions.Strong communication and presentation skills with strong user centricity.Fluent in EnglishWhat can you expect from Mars?Contract of employment.Attractive financial conditions including Bonuses.We will also look after your safety and well-being by offering you rich benefits package including life insurance, Employee Assistance Program fully covered by Mars, and private medical care, MultiBenefit Program and lunch card.Extra savings scheme to support You in long perspective.Support in career building through personalized development plan.On-line shop with attractive discounts on our products that Your family and friend are going to love.Possibility to participate in volunteering initiatives during working hours.#LI–KN1Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
