We are currently looking for a senior data analyst (m/f) to work for an IT project, market leader in it's field. ...
We are currently looking for a senior data analyst (m/f) to work for an IT project, market leader in it's field.
Bachelors degree in a quantitative discipline such as data science, data analytics, computer
science, engineering, statistics, mathematics, finance or other related degree
3+ years of experience in data analytics/data science position
3+ years of experience with Python and SQL
TOP CANDIDATES WILL ALSO HAVE:
MS degree in a quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, finance or other related degree
Experience with Snowflake
Experience visualizing data and developing reproducible reports
Experience using dashboarding software such as Tableau and MS Power BI
Familiarity with AWS (SageMaker, Athena, S3, RDS, DynamoDB)
Working knowledge of statistical concepts (distributions, hypothesis testing, confidence intervals) and experience applying to real-world applications
Good organizational skills and an aptitude for complex analytical and detailed work; ability to prioritize among multiple concurrent projects in order to meet deadlines in a timely manner.
Experience gathering information systematically
Ability to consider a broad range of issues or factors, grasp complexities and perceive relationships among problems or issues, and use accurate logic in analysis
Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences.
Ability to work independently or collaboratively in a complex, rapidly changing, and culturally diverse environment.
Ability to learn and comply with company policies and procedures
Passion for technology and an eagerness to contribute to a team-orientated environment
As a Senior Data Scientist/Analyst, you will use analytics and visualization methods to solve problems for internal customers. You will engage in projects of medium to high complexity with direct business impact.
This role is primarily focused on the analysis and reporting of Enterprise data quality. This role will contribute to the definition and implementation of quality metrics, identification of data quality rules and evaluation of their impact, and root cause analysis of data quality problems.
Design, develop, and maintain enterprise quality dashboards and reports
Provide analytics support to high profile Helios Data Division Projects
Use analytics methods to make recommendations to Designers, Product Owners and Managers
Work independently without close supervision on medium to high complexity projects
Work on 2-3 projects concurrently
Integration of highly complex projects; Remuneration conditions according to the experience and demonstrated knowledge.