Senior Data Support Analyst - Financial Domain

Job Requisition ID #

24WD81189

Position Overview

Are you looking for an exciting job that allows you to explore and learn? Do you thrive in an environment where you can work on real, challenging issues? We have an opening for a Senior Data Analyst to support SAP HANA, Snowflake, Business Objects, Informatica, Power BI, and related applications hosted in the cloud. Our engineering culture will empower you to make effective decisions, work collaboratively, and take accountability for engineering projects at the company's core.

Responsibilities

• Provide Level 2 Incident Management support for Enterprise Data Applications hosted in both public and private clouds, ensuring adherence to business service SLAs

• Collaborate with stakeholders to address data-related technical issues and provide support for data infrastructure needs

• Take ownership of critical issues, involving appropriate support teams as necessary, and drive the resolution process

• Work with integration and reporting tools to ensure proper system-to-system integrations

• Identify and implement cost optimization opportunities by leveraging cross-functional solutions across business areas to generate economies of scale

Minimum Qualifications

• 8+ years of experience as a Business System Analyst, Data Engineer, or Data Analyst

• Extensive experience in development/support of SAP HANA, HANA EDW, Business Intelligence reporting (SAP Business Objects, Microsoft Power BI preferred), and Matillion/Informatica

• Working knowledge of Snowflake and DBT

• Fluency in at least one programming language (e.g., Python, Java Spring Boot, .Net) with strong AWS skills; understanding of coding at a support level is essential

• Expert knowledge of SQL tools and languages

• Strong expertise in databases, data warehouses, and data processing

• Proven ability to troubleshoot, analyze trace dumps, and optimize query/process performance

• Strong team player with quick learning abilities

• Enjoys solving problems and working through ambiguous scenarios

Preferred Qualifications

• Experience with SAP S4 modules

• Familiarity with big data technologies like Hadoop, Spark, Hive, HBase is an added advantage

• Bonus for proficiency in modern machine learning theories and applications, such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series, or graph unsupervised learning

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About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

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