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Data Analyst

Data Analyst

ValdAustralia
10 days ago
Job description

VALD is the world leader in technology for theallied health industry, providing innovative human-measurementtechnology to 6,500 clients in over 100 countries. If you have afavorite team in the NBA, EPL, or NFL, there's a good chance they useVALD Technologies.

Since its humble beginnings in 2015 in Brisbane, Australia, VALD hasgrown to a team of over 200 team members in over 30 countries, with 5offices across four continents.

Driven by a multidisciplinary team of researchers, clinicians, sportsscientists, designers, developers and engineers, VALD's suite ofsystems offer unparalleled insight into human movement, performance,injury risk and rehabilitation.

About the role VALD is building the world's largest musculoskeletal database, withover two billion data points and counting. Using this data, we can helppractitioners to objectively assess patients' progress and make moreaccurate, data-informed treatment decisions. We are looking for anexperienced data scientist to join our growing team and build thetechnical foundations for VALD's future growth.

In this role, you will :

Own and maintain VALD's flagship business intelligence dashboards in Databricks, engaging with key stakeholders to understand and address their reporting needs.Produce normative data reports that contextualize VALD measurement data across key populations, enabling practitioners to easily benchmark their patients' performance.Build a scalable enterprise data reporting solution that allows clinic-level insights to be surfaced to client success managers.Serve as the team's data steward by enhancing data quality checks, maintaining the data dictionary, and implementing best practices for data governance.Conduct ad-hoc data analysis to support diverse initiatives across VALD, including patient rehabilitation analytics and bespoke internal reporting.Maintain the data science codebase, following best practices in development life cycle management, source control, and documentation.Is this you? Our ideal candidate has :

Proven experience in data analytics, business intelligence, or a related field.Proficiency in Python, SQL, Databricks, Git, Excel, and Power BI.

Tertiary qualifications in mathematics, statistics, engineering, or a related field.All the attributes that make a great data analyst – curiosity, attention to detail, teamwork, communication skills, a passion for problem-solving, and a willingness to meet deadlines.Ability to handle ambiguity and thrive in a startup environment.Why VALD? An opportunity to be part of revolutionizing the health and performance industries is just the beginning when you join VALD.

We have a range of benefits we offer to our team, such as :

The opportunity to work in a company that is redefining allied healthcare.Learn from a range of high-performing individuals and teams across a range of disciplines.Be part of a down-to-earth, inclusive and vibrant team.Chefs that prepare you delicious fresh breakfast and lunch.On-site barista to make your coffee just as you like it.Team gym, masseuse, and access to physiotherapy and exercise physiology services.Diversity & Inclusion Commitment VALD's best asset is not our technology but our people and culture. Aculture of inclusion and diversity is critical to our business. We knowdiverse teams perform better. It's not a separate initiative – we aimto embed inclusion and diversity in everything we do. We are committedto fostering an inclusive work environment and embracing diversity,including gender, nationality, disability, age, marital / parental status,ethnicity, gender identity, socioeconomic background and sexualorientation. We welcome applications from people from all backgrounds.

Apply now In your cover letter, please share with us why you think yourexperience is relevant to this role and how this opportunity fits intoyour longer-term career goals. We can't wait to meet you and discusswhat a career with VALD could look like for you!

Successful applicants will be subject to background checks (including identity and criminal record).

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Data Analyst • Australia

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