Data Analyst, Data Instrumentation

Job Description

We are looking for an experienced Senior Data Analyst to join our Data Instrumentation team. This role requires acute attention to detail, a strong sense of accountability, collaboration skills, and extensive hands-on experience with large datasets. In this role you will be working on data analysis, KPI definitions, data investigations and instrumenting and deploying production processes to ensure data quality assurance and completeness across the complete data lifecycle
At DSS, data is central to measuring all aspects of the business, and critical to its operations and growth. Data Instrumentation works closely with data stakeholders, front-end technology teams, data engineering, and back-end services for consistent collection and usage of business critical KPIs and data points.

• BA or BS in a quantitative field (Business, Math/Statistics, Economics, CS, Engineering, or similar) is desired
• 2+ years of Python, Spark and SQL is required
• High familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow
• Strong experience in documenting the data requirements, data strategy, data rules (standardization, cleanse, and validation)
• Experience operating in an SDLC environment and deploying code
• Exceptional interpersonal skills and written communication skills
• Strong analytical and technical skills to troubleshoot issues, analyze the cause, quickly come-up with the possible solution(s), document the changes, and communicate to the change to the organization
• Ability to evaluate risks and provide recommendations / solutions in a timely manner
• Understanding business requirements and translating them into actionable specifications while owning end-to-end data lifecycle including how data should be tracked and measured for analysis, reporting and data quality assurance.
• Perform cross system data investigations and analysis to discover data inconsistencies, outlining path to remediation for development teams.
• Understand the systems and business processes that populate critical systems with data.
• Work with stakeholders to outline and define data definitions and apply appropriate usage.
• Perform data audits, identify data collection issues, suggest improvements, and help implement fixes.
• Work to support engineering teams tasked with ingestion of critical datasets as a subject matter expert.
• Create and manage key data quality health KPIs through regular metric monitoring and revise as needed as the number of datasets and critical systems expand.
• Work as a lead data steward hand-in-hand with the managers of the operating systems to convey the data quality needs.
• Document and implement data quality policies, standards, and procedures for both legacy and new data environments.

Required Education :

• BA or BS in a quantitative field (Business, Math/Statistics, Economics, CS, Engineering, or similar) is desired

Preferred Education :

• 2+ years of Python, Spark and SQL is required
• High familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow
• Strong experience in documenting the data requirements, data strategy, data rules (standardization, cleanse, and validation)
• Experience operating in an SDLC environment and deploying code
• Exceptional interpersonal skills and written communication skills
• Strong analytical and technical skills to troubleshoot issues, analyze the cause, quickly come-up with the possible solution(s), document the changes, and communicate to the change to the organization
• Ability to evaluate risks and provide recommendations / solutions in a timely manner

Company Overview :
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