Senior Data Analyst, SQL

Job not on LinkedIn

🔥 3 minutes ago

🌏 Anywhere in the World

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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GIGABIT Technologies Private Limited

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

🔒 Cybersecurity

☁️ SaaS

Cybersecurity • IT Security • SaaS

GIGABIT Technologies Private Limited is a leading provider of comprehensive IT solutions, specializing in cybersecurity, infrastructure design, and managed IT services. With a focus on proactive cybersecurity measures, the company offers services including real-time threat detection, data security, and incident response to ensure businesses remain secure and resilient. GIGABIT Technologies also designs tailored storage and network solutions, helping organizations enhance their IT infrastructure while maximizing operational efficiency and compliance.

📋 Description

• Lead analytics initiatives from requirements gathering and data preparation through analysis, dashboard delivery, and recommendations • Define and maintain KPIs, metric definitions, and reporting standards aligned with business objectives • Investigate trends, segments, and customer or product behavior to identify opportunities and inform priorities • Build reusable analytical datasets and automate recurring analyses and reporting workflows • Ensure data accuracy and consistency through validation, reconciliation, and discrepancy investigation • Partner with Product, Engineering, and Delivery teams to clarify needs, resolve dependencies, and address information gaps • Make technical decisions independently, explain trade-offs, and escalate significant risks • Review analytical deliverables, mentor colleagues, and improve documentation and reusable practices • Apply data privacy, access, and governance controls throughout the analytical lifecycle

🎯 Requirements

• Advanced SQL: complex joins, CTEs, window functions, aggregations, query optimization, and execution plan analysis • Proficiency in Power BI, Tableau, or Looker, including DAX, Power Query, LOD, LookML, connections, filters, drill-downs, and optimization • Data modeling: granularity, fact/dimension tables, relationships, and reusable semantic models • Python or R for data cleaning, analysis, visualization, and maintainable scripts • Descriptive and inferential statistics, sampling, hypothesis testing, regression, bias detection, and correlation vs. causation • Exploratory data analysis, segmentation, cohort analysis, trend analysis, and performance-driver identification • Data validation, source reconciliation, metric documentation, and data lineage • Advanced Excel formulas, pivot tables, lookups, and data preparation • Knowledge of ETL/ELT pipelines, data warehouses, update dependencies, latency, and schema changes • Git, peer review, reproducible analysis, and technical documentation • Role-based access control, sensitive-data handling, and secure distribution of analytical results

🏖️ Benefits

• An exciting growth journey and a never-ending ambition to develop as a company • A friendly, supportive and humble working culture where the team always comes first • Opportunities for professional development and personal growth • Passionate, high-performing and genuine colleagues • Results and well-being prioritized • Referral reward if a recommended friend or colleague is hired • 15 business days PTO and flexibility program • Local holidays • Remote work — work from anywhere • Notebook • Monday–Friday work hours, 8 a.m.–5 p.m.