Data Analyst II (R-16990)

Posted 2 Days Ago
Hyderabad, Telangana
Hybrid
Junior
Artificial Intelligence • Big Data • Fintech • Machine Learning • Software • Generative AI • Big Data Analytics
A leading global provider of business decisioning data and analytics for almost 200 years.
The Role
The Data Analyst II role involves analyzing Global Inventory Data, creating data mappings, generating reports, and collaborating with cross-functional teams. The Analyst is responsible for troubleshooting data incidents, maintaining documentation, and utilizing tools like PowerBI to derive insights from data quality monitoring results. They will work closely with stakeholders to ensure data governance and compliance.
Summary Generated by Built In

Why We Work at Dun & Bradstreet

Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers.


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 analyzing 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 analyze 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.

All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.


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Top Skills

SQL
The Company
HQ: Jacksonville, FL
6,317 Employees
Hybrid Workplace
Year Founded: 1841

What We Do

For almost 200 years, Dun & Bradstreet has helped clients and partners grow and thrive through the power of data, analytics, and data-driven solutions. Our more than 6,000 employees around the world are dedicated to this unique purpose, and we are guided by important values that make us the established leader in business  decisioning data and analytical insights. Our data & insights are valuable at all phases of a business lifecycle and whatever the economic environment.

Why Work With Us

We are at a transformational moment in our company journey, and we’re excited about it. Each day, we are taking steps to transform our culture into one that activates our people’s best work, exploring what needs to change to accelerate creativity and innovation, and challenging ourselves to think differently about how we interact.

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