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Technology Partner Data Analyst

AT Siemens Digital Industries Software
Siemens Digital Industries Software

Technology Partner Data Analyst

Pune, India

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.

Siemens Digital Industries Software is seeking a detail-oriented Data Analyst to join our Strategy team where your analytical prowess will directly shape the future of industrial innovation. This pivotal role is crafted for an analytical thinker who thrives on solving complex problems and is eager to grow into a Data Science professional within our world-renowned technology ecosystem. As a Siemens Data Analyst, you'll experience an outstanding opportunity to work at the intersection of AI-driven solutions and global industrial digitalization, with clear pathways for professional development and mentorship from world-class technology leaders. Your work will not just analyze data, but will contribute to transformative technologies that solve real-world challenges for the Strategy organization.

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Responsibilities:

Develop and maintain robust data pipelines using tools like Snowflake and ELT/ETL processes.

Optimally communicate complex data findings and recommendations to both technical and non-technical stakeholders.

Gather, clean, and analyze large datasets to extract meaningful insights.

Develop and maintain dashboards, reports, and visualizations to track key business metrics.

Collaborate with partners to define data-driven solutions and support strategic decision-making.

Identify trends, patterns, and correlations in data to improve business processes.

Apply SQL, Python, or R to perform data manipulation and analysis.

Ensure data accuracy, integrity, and consistency across reporting platforms.

Work closely with data engineers to optimize data pipelines and database structures.

Experiment with innovative AI technologies (Langchain for generative AI) to explore new marketing possibilities and develop data-driven recommendations.

Explore opportunities to integrate machine learning and AI techniques into analysis over time.

Qualifications:

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

We are looking for candidate with 3-5 years of experience in data analysis, business intelligence, data science or a related field.

Proficiency in SQL for querying and handling data!

Experience with data visualization tools (e.g., Tableau, Power BI, Looker, Matplotlib, Seaborn).

Familiarity with Python or R for data analysis and automation and git version control.

We are seeking for candidate with solid understanding of regression analysis and other statistical methods.

Experience with AI/Machine Learning frameworks (e.g., Langchain) is a strong plus.

Experience with Snowflake data warehousing is a plus!

Adaptable and eager to learn new tools and technologies.

A results-oriented approach with a good work ethic and a passion for innovation.

Strong analytical and problem-solving skills with attention to detail.

Excellent communication skills to collaborate with technical and non-technical teams.

Willingness to expand into machine learning and data science methodologies.

Easy to work with global team and can build positive relationships with a broad set of stakeholders that have diverse interests.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

We are Siemens

A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare.

Siemens Software. 'Transform the every day with us'

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Client-provided location(s): Pune, Maharashtra, India
Job ID: Siemens_Digital-456911-en-1
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Pet Insurance
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Family Support Resources
    • On-site/Nearby Childcare
    • Adoption Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
    • Work-From-Home Stipend
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
    • Profit Sharing
  • Professional Development

    • Tuition Reimbursement
    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
    • Work Visa Sponsorship
    • Leadership Training Program
    • Associate or Rotational Training Program