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As Data Governance Analyst for Conti Tech, you will be at the heart of our efforts to ensure that data is managed with integrity, transparency, and accountability across the organization. You will collaborate with cross-functional teams and IT partners to implement governance frameworks, monitor data quality, and support compliance initiatives. Your role will be instrumental in driving continuous improvement and fostering a culture of responsible data ownership.
Key responsibilities include:
- Enforcing data governance policies and standards across functional areas to ensure consistent application and compliance
- Maintaining and updating governance documentation, monitoring tools, and process artifacts
- Tracking data quality metrics and compliance KPIs, and escalating issues to maintain data integrity
- Preparing reports and dashboards for governance performance reviews to support leadership decision-making
- Contributing to the refinement of governance frameworks and standards in alignment with corporate policies
- Supporting training and communication initiatives to build awareness and adoption of governance practices
- Conducting research on best practices and emerging trends to enhance governance processes and tools
- Proposing improvements based on operational insights and stakeholder feedback
- Providing operational support for governance tools and metadata systems, ensuring catalog accuracy and effective process execution
Your profile
Education: Degree in Information Management, Business Informatics, Business Economics, or related field
Certifications: Data Governance or Data Privacy certifications (e.g., DGSP, CIPP/E) are a plus
Experience:
- 3–5 years in data governance, data quality, or related roles in enterprise environments
- Experience supporting or managing governance processes, including policy enforcement, metadata management, and compliance tracking
- Familiarity with governance tools (e.g., Collibra, Informatica) and reporting interfaces (e.g., Power BI, Tableau)
- Proven ability to work across global or distributed teams
Skills:
- Strong understanding of data ownership models, stewardship roles, and governance operating models
- Advanced knowledge of data quality dimensions and rule definition
- Proficiency in documentation, stakeholder communication, and workshop facilitation
- Awareness of GDPR, data privacy, and compliance-relevant governance requirements
- Basic hands-on experience with governance tools and metadata systems
- Strong analytical mindset and continuous improvement orientation
You
-
inspire your stakeholder and contact partner with an effective communication of high intercultural sensitivity
-
Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success
-
up to date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc.
Ready to drive with Continental? Take the first step and fill in the online application.
Conti Tech Business Hub in Bangalore in a key location for Conti Tech hosting various functional teams
ONE Conti Tech – The first choice for material driven solutions.
Are you interested in shaping the future of Conti Tech together with a great team?
Please join us and contribute to our goals with your new role as Data Analyst working with CTO team
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About Continental

Continental
BootstrappedAn automotive dealer that supplies vehicles, tires, spare parts and accessories to international markets.
201-500
Employees
Anchorage
Headquarters
Reviews
3.8
10 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
3.2
Career
3.8
Management
2.8
72%
Recommend to a Friend
Pros
Good pay and compensation
Great people and coworkers
Good work environment
Cons
Management issues and unrealistic goals
Low salaries for some positions
High stress and pressure
Salary Ranges
0 data points
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0 reports
$70,496
total / year
Base
$28,198
Stock
$35,248
Bonus
$7,050
$49,347
$91,645
Interview Experience
2 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
50%
Experience
Positive 0%
Neutral 0%
Negative 100%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Challenge
5
Final Round Interview
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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