We are looking for a data operations analyst to join our team at Altus Group!
In this position, you will play a critical role in improving the firm’s data quality by working to establish data quality metrics and conducting analysis of the firm’s data sources.
Key Responsibilities / Accountabilities
- Working with the Engineering and Offer teams to apply the Data Operations framework and monitor established data quality metrics to ongoing development initiatives.
- Assist technical stakeholders in ad-hoc data initiatives depending on team bandwidth such as documentation and verification of various data-points.
- Continue to maintain existing Owner Portfolio data offering in conjunction with the rest of the Data Operations team.
Skills and Knowledge required
- Demonstrated ability to process and manage large data sets, both structured and unstructured – Demonstrated experience with Python, SQL
- Expert in machine learning techniques, including feature selection, model selection, model tuning, and communication of findings/model risks
- 1+ years of Python or Scala experience
- 1+ years of SQL experience
- Communication and basic understanding of computer science is a plus
Process-oriented: Agile development or Data Science Lifecycle Process to ensure prompt delivery of data initiatives
Salary expecations are between $60,000k – $70,000K, subjective upon candidate experiences.Come realize your potential at Altus Group!
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
Applicants with disabilities may contact Altus Group to request and arrange for accommodations. If you need assistance to accommodate a disability, you may request an accommodation at any time. Please contact us directly.
Job Type: Full-time
Salary: $65,000.00 – $70,000.00 per year
- 8 hour shift
Work Location: Remote
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