Lead Data Catalyst / Senior Business Data Analyst

A Snapshot of Your Day

As Lead Data Catalyst, you will be responsible for driving the improvement of data quality and availability for your assigned steam turbine installed fleet. This task is essential, in support of our Spare Parts organization's ambition of becoming Amazon's industrial twin. You will conduct in-depth data analyses, propose a data strategy and work with different teams to validate and implement it; set in place data governance measures, data management and monitoring tools, and support data monetization. As new data feeds into our e-Commerce platform, you will actively promote its adoption by your internal customers and herewith directly support process automation and business growth.

How You'll Make an Impact

Utilize Python or PowerBI for in-depth business data analysis, including data cleaning (rule-based and AI methods) and augmentation, to derive actionable insights and spearhead the implementation of these strategies.

Work across multiple functions to assess current data usage, quality, and availability, identifying issues and gathering suggestions for improvements to enhance data-driven decision-making.

Enhance the e-Commerce platform's performance by driving sales volume, leveraging improved data for strategic inventory management, pricing, upselling, and developing offerings based on customer insights.

Implement cutting-edge data analysis and management techniques to elevate data quality and accessibility across STG's installed fleet, supporting better business outcomes.

Play a key role in establishing and promoting E-Commerce as a significant distribution channel within the PCC, ensuring its relevance and effectiveness.

Collaborate with diverse teams, regions, and partners on initiatives aimed at achieving data excellence and contribute to the ambitious goal of becoming the industrial equivalent of Amazon for our spare parts business.

What You Bring

Bachelor's degree in Engineering, Computer Science, Business, or a related field.

A minimum of 3 years of experience conducting advanced data analysis using Python. Those with more experience may be considered for a higher level.

Proficiency in analyzing, manipulating and applying Machine Learning to data. Familiarity with Snowflake, PowerBI including DAX and M is a plus.

Demonstrates creativity, efficiency, and resourcefulness in problem-solving and project execution.

Possesses impeccable verbal and written communication abilities.

Strong passion for collaboration, transformation, and excellence in data management, including data governance and analytics.

Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.

About the Team

Our

Transformation of Industry

division is decarbonizing the industrial sector. Increasing electrification and efficiency are key and demand for green H2 and derivative fuels will rise. We enable decarbonization of the industrial sector and the transition to sustainable processes, building on a strong industrial customer base, a global network, diverse technologies, and integrated execution capabilities. Candidates want to learn about the divisions they will be joining-the structure, how it works together, and the role it plays in driving Siemens Energy's mission forward.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With ~100,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we're also using our technology to help protect people and the environment.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Find out how you can make a difference at Siemens Energy: ***/employeevideo

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards/Benefits

Supportive work culture

Company paid Health and wellness benefits

Paid Time Off and paid holidays

401K savings plan with company match

Family building benefits

Parental leave

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This job may be based in Olean, New York or Hamilton, New Jersey. Siemens Energy offers a variety of health and wellness benefits including paid time off and holiday pay. Details regarding our benefits can be found here: ***/thinking-of-joining.html. (***/thinking-of-joining.html.The) The base salary range for this position in Olean, New York or Hamilton, New Jersey is $74,000 - $136,000.

Specific offers are determined by various factors, such as experience, skills, certifications, and other business needs. Employees typically do not start at the top of the range, though compensation depends on each individual's qualifications.

Equal Employment Opportunity Statement

Siemens Energy is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local

law.