Data Analyst II (R-16991)
Hyderabad - India
Dun & Bradstreet
About the role We are looking for a candidate who are passionate about the possibilities of data, that want to be part of shaping today’s most exiting industry. You will be part of the team responsible for analysing and understanding our Global Inventory Data and enable us to raise our competitive position in our Global Offering. As a Data Analyst, you will play a crucial role in making our best data available in global products, enabling organizations to make informed decisions and drive business success. This role involves working closely with cross-functional teams to analyse and map local data to global products. You will collaborate closely with stakeholders and to create data mappings, reporting, insight, root cause analysis and drive continuous improvements.
Key Responsibilities
- Develop a strong understanding of Dun & Bradstreet’s inventory data.
- Become proficient and subject matter expert in our global data transfer structure.
- Perform detailed analysis and troubleshooting on data incidents related to data flow from local markets to global systems.
- Provide analysis support to regional data owner team members.
- Develop and maintain collateral and explanatory documentation on data topics.
- Employ advanced data analysis and profiling techniques.
- Operate within data models which ensure the data is stored in an organized structure.
- Utilize PowerBI and/or Looker to design, create, connect and administer dashboards which derive insights from data quality monitoring results.
- Communicate with the globally distributed stakeholders using JIRA and Confluence.
- Capture requirements accurately and seek strong understanding of use cases.
- Generate regular reports on data quality metrics.
- Review data to identify patterns or trends that may indicate errors in processing.
- Maintain comprehensive documentation of data quality processes and findings.
- Comply with data governance policies and procedures.
- Educate yourself on industry best practices and technologies related to data quality.
Required Traits Include
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 2+ years of experience and demonstrated in-depth knowledge of data analysis, querying languages, data modelling, and the software development life cycle.
- Strong skill in SQL (preferably Big Query).
- Agile mindset and understanding of agile project management (Scrum/Kanban).
- Understanding of Database design, modelling, and best practices.
- Experience with cloud computing technologies (preferably GCP).
- Experience with PowerBI, Looker or similar data visualization tool.
- Analytical, process improvement and problem-solving skills.
- Good communication skills and the ability to articulate data issues and solutions.
- Commitment to meet deadlines and uphold the release schedule, and role model good teamwork for colleagues.
Valuable Traits Include
- Skill in Python and/or Scala for data wrangling and data analysis.
- Experience with data observability tools such as Acceldata or Informatica DQ.
- Experience with XML and JSON data structures.
- Understanding of ETL processes and their impact on data quality.
- Knowledge of Machine Learning, specifically anomaly detection.
- Experience collaborating across time zones as part of a global team.
What we’re looking for
- Dynamic and results-driven team members with the focus on facilitating action and effecting change.
- An innovative and inspirational approach.
- Self-motivation with the desire to learn new techniques – relentless curiosity.
- Ability to priorities work with a flexible approach to balancing multiple tasks.
- Ability to work independently.
- A great team player.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile BigQuery Computer Science Confluence Data analysis Data governance Data quality Data visualization ETL GCP Informatica Jira JSON Kanban Looker Machine Learning Power BI Privacy Python R Scala Scrum SDLC SQL XML
Perks/benefits: Career development Flex hours
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