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With over 80 years as an industrial technology leader, Kennametal Inc. delivers productivity to customers through materials science, tooling and wear-resistant solutions. Customers across aerospace, earthworks, energy, general engineering and transportation turn to Kennametal to help them manufacture with precision and efficiency. Every day approximately 10,000 employees are helping customers in more than 60 countries stay competitive. Kennametal generated nearly $2.4 billion in revenues in fiscal 2019. Learn more at www.kennametal.com. Follow @Kennametal: Twitter, Instagram, Facebook, LinkedIn and YouTube.

Years of Relevant Work Experience Required: 8-10 Years

 

Team Lead-Data Analytics provides technical leadership to a team of data engineers, fostering a culture of support and collaboration in the team. You will be an inspirational role model responsible for leading, coaching, and mentoring engineers in a self-organizing, cross-skilled team environment. This is a player-coach role with equal distribution of individual contribution and team management.

You will be responsible for every operational aspect of the Data Warehouse/Enterprise Reporting; maintenance and enhancement of the existing analytical solutions and create new ones.  

You need to have an end-to-end understanding of various technical components involved in a typical data engineering, data warehouse and reporting portfolio.

You will work closely with various business stakeholders for their reporting/analytics requirements.

Experience with Data Visualization tools such as Tableau/ Power BI is a plus.

 

Key Job Responsibilities

List each key responsibilities in order of importance

  • Ownership of Data Analytics stack required for optimal extraction, transformation, and loading of data from a wide variety of data sources to accelerate data driven decision making

  • Play a key role in people-related initiatives including recruiting, onboarding, performance reviews, training and development

  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

  • Effectively partner with site leadership, cross-functional teams and business partners in providing business value

  • Act as a subject matter expert or leader for Digital Data and Analytics in business initiatives and projects.  Act as a consultant to ensure data solutions are designed and engineered with analytics in mind.

  • Take complete ownership of the Analytics DW from technical perspective.

  • Participate with business users for requirement gathering and convert that into a technical design document.

  • Identify performance bottlenecks in key reports and develop technical solutions to resolve the same.

  • Provide expert advice to DW team members with issues needing technical expertise or complex systems and/or programming knowledge.

  • Mentor other members on the team mainly with guidance around technical aspects of Microsoft BI solutions.

  • Champion data quality, integrity and reliability throughout the department by designing and promoting best practices

  • Represent the analytics team on DRB and change management board meetings to get necessary approvals.

  • Understanding the data that will be available on Source Systems in business terms.

  • Aware of standard Change management and Project management processes.

  • This role will focus on Support, Enhancements, and new Projects.

 

 

Skillset:

  • Managed a Business Intelligence/ Analytics team > 3 years.

  • Worked on core Datawarehouse/ Analytics / Enterprise Reporting related platform and projects > 10 years.

  • Strong hold on MSBI Analytics suite (SQL DB/SSMS/SSRS/SSAS) is highly desirable.

  • Strong T-SQL/ PL-SQL Programming skills are highly desirable.

  • Worked on other data warehouse platforms like SAP BW, SAP BW on HANA with willingness to move to Microsoft platform.

  • Hand-On with any of the visualization tools like Tableau/Power BI etc.

  • Knowledge or Realtime experience on IoT, Machine Learning algorithms, Databricks, DataLakes would be a plus.

  • Knowledge of Cloud-based data warehouse solutions like Azure Synapse or Snowflake would be a plus.

 

 

 

Kennametal is an equal opportunity employer


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