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About Us
Automation Anywhere is a leader in AI-powered process automation that puts AI to work across organizations. The company’s Automation Success Platform is powered with specialized AI, generative AI and offers process discovery, RPA, end-to-end process orchestration, document processing, and analytics, with a security and governance-first approach. Automation Anywhere empowers organizations worldwide to unleash productivity gains, drive innovation, improve customer service and accelerate business growth. The company is guided by its vision to fuel the future of work by unleashing human potential through AI-powered automation. Learn more at www.automationanywhere.com
Our opportunity:
As a Data Engineer, you’ll partner with business, finance, and IT to build BI products and services for reporting, data visualization, and ad hoc analytics. You’ll help to bring alignment to Automation Anywhere’s data model and formalize its data dictionary. You’ll also help to establish the necessary governance to manage and maintain the Company’s data model, dictionary, and lineage. You’ll partner with IT teams who own core data infrastructure, security, privacy services that BI platform will rely on.
You will make an impact by being responsible for:
Delivering business capabilities through technology enablement including data warehousing, data analytics & visualizations.
Leading data workstreams with cross-functional business stakeholders like Sales, Marketing, IT, Product & Finance
Partnering with cross-functional teams to drive BI and analytics initiative
Effective communication of project scopes, timing, prioritization, budgets, resource needs, and progress on an ongoing basis
Driving development and delivery of reporting features, analytics, unit economics, and KPIs through sprint planning, and production releases
Helping to design and build schemas that will underpin BI data warehouse
Developing and maintaining governance structure over data model and data dictionary
Ensuring lineage of data used in the production of unit economics, KPIs, and other financial and nonfinancial metrics
Driving adoption of BI platform and features through the organization of demo days, user training sessions, launch updates, etc.
You will be a great fit if you have:
BS in computer/data science degree or equivalent
Minimum 7 years of engineering experience delivering solutions/products related to data infrastructure at scale
Strong SQL skills and experience working with relational databases and distributed systems
Experience with at least one programming language for data analysis (e.g. Python or R)
Experience with an ETL frameworks, data modeling and data architecture
Experience with data visualization platforms like Tableau
Hands-on, end-to-end understanding of analytics from descriptive to predictive analytics including machine learning across data ingestion, preparation, development, and end user adoption
You excel in these key competencies:
Solid interpersonal skills with proven ability to develop and maintain effective business partner relationships
Demonstrated track record of collaborating with high performing cross-functional teams
Demonstrated ability to think strategically framing business issues to data warehousing solutions
Demonstrated ability to communicate complex analyses clearly and concisely to leadership team via presentation
Demonstrated ability to manage multiple tasks and projects, prioritize, and adapt to a changing environment
Must be willing to roll up sleeves and get work done - a productive contributor to detailed content, with a strong sense of accountability and ownership
Why Automation Anywhere?
At our company each person brings their unique talents to work as a team and make a difference.
As the leader in Robotic Process Automation (RPA), we provide a very compelling product where our teams are breaking new ground every day and given an environment to grow their skills and have fun along the way. Our technology is the game changer, and our people give us the edge to better our world and go be great!
All unsolicited resumes submitted to any @automationanywhere.com email address, whether submitted by an individual or by an agency, will not be eligible for an agency fee.
