Senior Data Quality Analyst

Job Title: Senior Data Quality Analyst
Division ( Weir Minerals)
Location: Remote
Purpose of Role: The Data Quality role will utilize industry best practices and experience to develop a brand-new Data Quality business framework, standards, procedures, and best practices while assisting with the successful roll out of a new Data Governance Program. Because sustainability is key to long term success of a Data Governance program, this role will include creating processes to audit and measure the health of critical data and work with business partners to create Data Quality improvement strategies. Finally, this role will be responsible for examining and resolving Data Quality problems and partnering with stewards to resolve issues.
Why choose Weir:
Be part of a global organization dedicated to building a better future: At Weir, the growing world depends on us. It depends on us constantly reinventing, quickly adapting and continually finding better, faster, more sustainable ways to access the resources it needs to thrive. And it depends on each of us doing the best work of our lives. It’s a big challenge – but it is exciting.
An opportunity to grow your own way: Everything moves fast in the dynamic world of Weir. This creates opportunities for us to take on new challenges, explore new areas, learn, progress and excel. Best of all, there is no set path that our people must take. Instead, everyone is given the support and freedom to tailor-make their own career and do the best work of their lives.
Feel empowered to be yourself and belong: Weir is a welcoming, inclusive place, where each individual’s contribution is recognized and all employees are encouraged to innovate, collaborate and be themselves. We continually focus on people and their wellbeing. We believe in fairness and choose to be honest, transparent and authentic in everything we do.
Key Responsibilities:

Data Governance & Data Management: Creates Data Management and Data Quality Policies, standards, and best practices. Also, creates a scorecard framework to monitor adoption across Minerals. Finally, this role will include the creation and management of meta-data glossaries leveraging advanced Data Quality capabilities (Collibra)

Statistical Analysis: Uses advanced statistical and data profiling techniques to profile data and recommend effective solutions to fix data across multiple systems

Data Cleansing and Transformation: Supports data clean-up efforts leveraging skills such as data profiling, statistical analysis, data analysis, and data cleansing techniques.

Requirement Gathering: Partners with architects, technical teams, and business stakeholders to influence DQ adoption, and facilitates Data Development Lifecycle requirement sessions.

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  Safety First: Demonstrate 100% commitment to our zero harm behaviors in support of our drive towards developing a world class safety culture.

Job Knowledge/Education and Qualifications:

Founded in 1871, Weir is a world leading engineering business with a purpose to make mining operations smarter, more efficient and sustainable. Thanks to Weir’s technology, our customers can produce essential metals and minerals using less energy, water and waste at lower cost. With the increasing need for metals and minerals for climate change solutions, Weir colleagues are playing their part in powering a low carbon future. We are a global family of 11,000 uniquely talented people in over 60 counties, inspiring each other to do the best work of our lives.

Weir is committed to an inclusive and diverse workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, veteran status, disability, age, or any other legally protected status.
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