Data Analyst

🕒 September 10

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 23%

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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Ness Digital Engineering

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1999

💼 Consulting

🤝 B2B

🤖 Artificial Intelligence

Consulting • B2B • Artificial Intelligence

Ness Digital Engineering is a global digital engineering and technology services firm that helps enterprises modernize, build, and operate cloud-native platforms, data and AI solutions, and software products. With 25+ years of engineering experience, a consulting-led delivery model, and an AI-powered engineering platform (ATONIS), Ness focuses on outcomes such as faster release cycles, reduced manual effort, and automated enterprise workflows. It partners with cloud and data providers (AWS, Azure, Google Cloud, Snowflake, Databricks, Confluent, Salesforce) and serves industries including financial services, manufacturing & transportation, media & entertainment, retail, private equity, and healthcare.

📋 Description

• Work with project teams, business stakeholders, technical SMEs, and Data Insights on a growing portfolio of interactive dashboards across product teams • Create new datasets and sophisticated dashboards • Understand data and business processes across applications and data domains • Advocate best practices for development across teams

🎯 Requirements

• Expert in SQL, Hadoop, BigData, Hive, and Nifi • Ability to analyse the construction of existing reports and reverse engineer table relationships • Strong knowledge of the Retail Domain • Experience with various stages of data warehouse projects, including data extraction, cleansing, aggregation, validation, transformation, and loading • Experience using DataStage components such as Sequential File, Join, Sort, Merge, Lookup, Transformer, Remove Duplicates, Copy, Filter, Funnel, Dataset, Change Data Capture, and Aggregator • Strong knowledge of database commands (DDL and DML) and data warehousing implementation models • Hands-on experience with the Hadoop ecosystem, including HDFS, Hive, Sqoop, NiFi, and YARN • Familiarity with Mainframe ESP for job scheduling • Understanding of branched development (dev, QA, prod, etc.) • Passion for data and its potential • Experience analyzing LOBs and databases and writing scripts • Experience connecting to additional sources such as Azure and MySQL • CI/CD experience • Bachelor’s degree in Computer Science or equivalent • Candidates without a Computer Science or Information Technology degree should have significant work experience

🏖️ Benefits

• Access to trainings and certifications • Bonuses and aids • Socializing activities • Attractive compensation