Analyst - Fundamental Data Operations

Data Operations Analyst (Ma...

Posted today

Job Description

Overview: A Data Operations Analyst is critical in managing and optimizing data processes to support access, analysis, and decision-making. This role bridges technical data teams and business operations by designing, implementing, and maintaining data processing controls. Responsibilities include data trend collection, quality control, reporting, and collaborating with internal development teams to resolve data-related issues and enhance operational efficiency.

Key Responsibilities:

• Data Cleaning and Transformation: identify and resolve data quality issues (duplicates, missing values, inconsistencies).
• Data Quality Monitoring: establish metrics, identify issues, and implement corrective actions.
• Manage data pipelines for ingestion, processing, and distribution across systems.
• Performance Analysis: analyze processes to identify trends, bottlenecks, and improvements.
• System Administration: maintain and troubleshoot data and reporting systems, including basic admin tasks for data tools.
• BAU Ownership: manage BAU automated processes; act as first-level incident support; maintain Ops Manual for issue resolution.

Qualifications:

• Graduate of IT, Computer-Related field (Engineering, BI, CS, Statistics preferred).
• 3–5 years of experience.

Required Skills:

• Technical: basic SQL, Excel, and data visualization (Power BI).
• Analytical: strong analytical and problem-solving skills.
• Business: understanding of operations and KPIs; ability to translate data insights into actions.
• Communication: clear communication of complex findings; cross-functional collaboration.

Data Operations Analyst – Data Operations Engineer (Additional Roles)

Posted today

Data Operations Engineer

Role: Monitor and support data pipelines, ensure data quality, and maintain documentation. Experience with data pipeline tools, scheduling systems, and operational support in fast-paced environments.

Key Responsibilities:

• Pipeline Monitoring and Support: L1/L2 support; manage pipelines with Airflow across environments.
• Data Quality Checks and Data Feeds: verify data quality reports and regional data quality.
• Documentation: maintain SOPs, incident reports, SLAs.
• On-call participation and continuous improvement.

Required Skills:

• Apache Airflow, scheduling tools (Dolphin Scheduler).
• SQL, Python; data quality concepts; Slack for alerts.
• Strong attention to detail, time management, and ability to work independently or in a team.

Preferred Qualifications:

• Experience in DataOps or operational support; knowledge of financial market data; scripting (Python, Bash) for automation.
• Shift availability for 24/7 environment; ability to work evenings, weekends, holidays as needed.

Benefits include hybrid work setup, health insurance, vacation, and career growth opportunities.

Data Operations Professional

Posted today

Job Description

Data Operations Professional role focuses on end-to-end data delivery and flow monitoring across data lakes. Hybrid onsite presence required. Responsibilities include monitoring data control processes, ensuring operational stability, compliance, automation, and stakeholder collaboration.

Key Responsibilities:

• Monitor and manage data flow technologies and delivery processes.
• Ensure data stability and performance across platforms.
• Execute compliance-related controls and process standards.
• Collaborate with stakeholders to identify automation opportunities.
• Support incident management and service transition activities.

Must-have Skills:

• Excel proficiency (pivot tables, lookups).
• Experience with incident management and ticketing tools.
• Strong communication and stakeholder engagement.

Nice-to-Have:

• Familiarity with Scrum/Agile, ITIL, ETL, Power BI, Alteryx; experience with ServiceNow.

Qualifications include 1–2 years in data operations, analytics, or data management; 3–5 years preferred for senior roles; awareness of data governance and data privacy.

Note: This role matrix includes multiple postings and may reflect interdepartmental needs across regions. Equal Employment Statement applies as appropriate.

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