DeepSource Technologies

Senior Business Intelligence Analyst & Data Engineer- Remote

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SeniorZdalnieFull-time

#467147·Dodano 9 dni temu·0

Źródło: DeepSource Technologies

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Tech Stack / Keywords

SQLETL/ELTTableauPower BIdbtAirflow Snowflake BigQuery Python LLM

Podsumowanie oferty

Build and maintain data pipelines, then design dashboards and reports that support business decisions for a client in Ireland. The role spans data engineering, BI analytics, and developing analytics for AI tools.

Wymagania

Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, or a related field, or equivalent practical experience.
6+ years of experience in data engineering, BI analysis, or analytics engineering.
Strong SQL skills, including complex queries, performance optimization, and work with large datasets.
Experience building and maintaining ETL/ELT pipelines, using custom scripts or tools such as Fivetran, dbt, Airflow, or Workato.
Hands-on experience with a BI/visualization tool such as Tableau, Power BI, or Looker.
Solid understanding of data modeling concepts, including dimensional modeling, normalization, and star schemas.
Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
Strong analytical mindset and ability to translate ambiguous business questions into structured data analysis.
Excellent communication skills and ability to explain technical concepts to non-technical stakeholders.

Nice to have:

Experience with Python or another scripting language for data manipulation and automation.
Familiarity with CRM/ERP systems such as Salesforce and NetSuite, and how operational data flows from them.
Experience with API integrations and workflow automation platforms such as Workato or Zapier.
Hands-on experience building or integrating AI/LLM-powered tools, such as Claude, ChatGPT, or Copilot, into data workflows.
Familiarity with prompt engineering, RAG, or agent-based architectures for analytics.
Experience establishing data governance practices for human and AI consumers.
Prior experience in Professional Services, Finance, or Operations analytics.

Obowiązki

Data Engineering:

Design, build, and maintain ETL/ELT pipelines that integrate data from multiple source systems into centralized data warehouses or data marts.
Ensure data quality, consistency, and integrity through validation, testing, and monitoring.
Optimize data models for reporting performance.
Automate manual data processes and reduce reliance on ad hoc spreadsheet work.
Manage data source connections, credentials, and refresh schedules.
Troubleshoot and resolve pipeline failures, latency issues, and discrepancies.

Business Intelligence & Analytics:

Build and maintain dashboards and reports using tools such as Tableau and Power BI to turn data into actionable insights.
Gather reporting requirements with business stakeholders and translate them into technical specifications.
Define and maintain a single source of truth for key business metrics.
Conduct ad hoc analysis to answer business questions and support strategic decision-making.
Monitor dashboard usage and improve reports based on stakeholder feedback.
Document data lineage, business logic, and calculation methodology.

AI-Enabled Analytics:

Design and maintain data structures suited to AI agents and natural-language query tools.
Build or support AI-powered reporting assistants and chatbots.
Evaluate and integrate LLM-based tools into the analytics stack, including for automated insight generation, anomaly detection, and natural-language-to-SQL interfaces.
Establish guardrails for AI-generated analysis, including certified data sources, citations, and validation processes.
Track AI/BI tooling trends and recommend opportunities to reduce manual reporting work.

Cross-Functional Collaboration:

Work with department leaders to understand data needs and pain points.
Act as a technical liaison between business teams and IT/engineering on data initiatives.
Support the rollout of tools, data sources, and automation initiatives.

DeepSource Technologies

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