Ness Digital Engineering Careers - Data Analyst

JobviteRemote, Ontario, CanadaRemote
Active

Job description

Ness Digital Engineering Careers { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-06-23", "description": "

Why NessWe know that people are our greatest asset. Our staff\u2019s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world\u2019s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.You\u2019ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression.You\u2019ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities and attractive compensation.\u00A0\u00A0Requirements and responsibilitiesWhat you\u2019ll do\u00A0\u00A0
  • Working with the Project teams, business stakeholders, technical SMEs, , Data Insights on a growing portfolio of interactive dashboards across many product teams \u00A0
  • Create new datasets and sophisticated dashboards \u00A0
  • Understand the data and business processes across all applicaitons, all data domains\u00A0
  • Advocate best practises for development across our teams \u00A0
\u00A0\u00A0What you\u2019ll bringMust Have\u00A0
    • Expert in SQL, Hadoop, BigData, Hive, Nifi
    • Ability to analyse the construction of existing reports and reverse engineer table relationships etc\u00A0
    • Strong knowledge of the Retail Domain and experience with various stages of data warehouse projects, including data extraction, cleansing, aggregation, validation, transformation, and loading.
    • Exp in using DataStage components such as Sequential File, Join, Sort, Merge, Lookup, Transformer, Remove Duplicates, Copy, Filter, Funnel, Dataset, Change Data Capture, and Aggregator.
    • Strong at database commands (DDL and DML) and data warehousing implementations models.
    • Hands on exp with the Hadoop ecosystem, including HDFS, Hive, Sqoop, NiFi, and YARN.
    • Familiar with Mainframe ESP for job scheduling.
    • Understanding of branched development \u2013 dev, qa, prod etc \u00A0
    • Passionate about data and it\u2019s potential \u00A0
    Desired: \u00A0
    • Experience of analyzing Lobs, data bases, writing scripts. \u00A0
    • Experience of connecting to additional sources such as Azure, MySql \u00A0
    • CI/CD experience \u00A0
    Education:\u00A0
    • Bachelor\u2019s degree in Computer Science or equivalent.\u00A0
    • Candidates without Computer Science or Information Technology degree should have significant work experience.\u00A0
    \u00A0\u00A0\u00A0\u00A0Not checking every single requirement?\u00A0If this role sounds good to you, even if you don\u2019t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills.\u00A0Let\u2019s meet and you may just be the right candidate for one of our roles.\u00A0At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity.\u00A0", "hiringOrganization": "Ness Digital Engineering", "employmentType": "Full-Time", "industry": "Data Engineering", "identifier": "ouznAfwK", "jobLocation": [ { "@type": "Place", "address": { "@type": "PostalAddress", "addressLocality": "Ontario", "addressRegion": "Canada", "addressCountry": "Canada" } } ], "jobLocationType": "TELECOMMUTE", "title": "Data Analyst", "baseSalary": { "@type": "MonetaryAmount", "currency": "", "value": { "@type": "QuantitativeValue", "minValue": "", "maxValue": "", "unitText": "" } } } Data Analyst Data EngineeringRemote, Ontario, Canada Apply Description Why NessWe know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.You’ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression.You’ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities and attractive compensation. Requirements and responsibilitiesWhat you’ll do Working with the Project teams, business stakeholders, technical SMEs, , Data Insights on a growing portfolio of interactive dashboards across many product teams Create new datasets and sophisticated dashboards Understand the data and business processes across all applicaitons, all data domains Advocate best practises for development across our teams What you’ll bringMust Have Expert in SQL, Hadoop, BigData, Hive, NifiAbility to analyse the construction of existing reports and reverse engineer table relationships etc Strong knowledge of the Retail Domain and experience with various stages of data warehouse projects, including data extraction, cleansing, aggregation, validation, transformation, and loading.Exp in using DataStage components such as Sequential File, Join, Sort, Merge, Lookup, Transformer, Remove Duplicates, Copy, Filter, Funnel, Dataset, Change Data Capture, and Aggregator.Strong at database commands (DDL and DML) and data warehousing implementations models.Hands on exp with the Hadoop ecosystem, including HDFS, Hive, Sqoop, NiFi, and YARN.Familiar with Mainframe ESP for job scheduling.Understanding of branched development – dev, qa, prod etc Passionate about data and it’s potential Desired: Experience of analyzing Lobs, data bases, writing scripts. Experience of connecting to additional sources such as Azure, MySql CI/CD experience Education: Bachelor’s degree in Computer Science or equivalent. Candidates without Computer Science or Information Technology degree should have significant work experience. Not checking every single requirement? If this role sounds good to you, even if you don’t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills. Let’s meet and you may just be the right candidate for one of our roles. At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity. Apply Apply Later ← Back to Current Openings Share lang: en_US Share LinkedIn Facebook Twitter Email Similar Jobs Powered by Jobvite

    Ness Digital Engineering Careers { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-06-23", "description": "

    Why NessWe know that people are our greatest asset. Our staff\u2019s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world\u2019s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.You\u2019ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression.You\u2019ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities and attractive compensation.\u00A0\u00A0Requirements and responsibilitiesWhat you\u2019ll do\u00A0\u00A0
    • Working with the Project teams, business stakeholders, technical SMEs, , Data Insights on a growing portfolio of interactive dashboards across many product teams \u00A0
    • Create new datasets and sophisticated dashboards \u00A0
    • Understand the data and business processes across all applicaitons, all data domains\u00A0
    • Advocate best practises for development across our teams \u00A0
    \u00A0\u00A0What you\u2019ll bringMust Have\u00A0
      • Expert in SQL, Hadoop, BigData, Hive, Nifi
      • Ability to analyse the construction of existing reports and reverse engineer table relationships etc\u00A0
      • Strong knowledge of the Retail Domain and experience with various stages of data warehouse projects, including data extraction, cleansing, aggregation, validation, transformation, and loading.
      • Exp in using DataStage components such as Sequential File, Join, Sort, Merge, Lookup, Transformer, Remove Duplicates, Copy, Filter, Funnel, Dataset, Change Data Capture, and Aggregator.
      • Strong at database commands (DDL and DML) and data warehousing implementations models.
      • Hands on exp with the Hadoop ecosystem, including HDFS, Hive, Sqoop, NiFi, and YARN.
      • Familiar with Mainframe ESP for job scheduling.
      • Understanding of branched development \u2013 dev, qa, prod etc \u00A0
      • Passionate about data and it\u2019s potential \u00A0
      Desired: \u00A0
      • Experience of analyzing Lobs, data bases, writing scripts. \u00A0
      • Experience of connecting to additional sources such as Azure, MySql \u00A0
      • CI/CD experience \u00A0
      Education:\u00A0
      • Bachelor\u2019s degree in Computer Science or equivalent.\u00A0
      • Candidates without Computer Science or Information Technology degree should have significant work experience.\u00A0
      \u00A0\u00A0\u00A0\u00A0Not checking every single requirement?\u00A0If this role sounds good to you, even if you don\u2019t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills.\u00A0Let\u2019s meet and you may just be the right candidate for one of our roles.\u00A0At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity.\u00A0", "hiringOrganization": "Ness Digital Engineering", "employmentType": "Full-Time", "industry": "Data Engineering", "identifier": "ouznAfwK", "jobLocation": [ { "@type": "Place", "address": { "@type": "PostalAddress", "addressLocality": "Ontario", "addressRegion": "Canada", "addressCountry": "Canada" } } ], "jobLocationType": "TELECOMMUTE", "title": "Data Analyst", "baseSalary": { "@type": "MonetaryAmount", "currency": "", "value": { "@type": "QuantitativeValue", "minValue": "", "maxValue": "", "unitText": "" } } } Data Analyst Data EngineeringRemote, Ontario, Canada Apply Description Why NessWe know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.You’ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression.You’ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities and attractive compensation. Requirements and responsibilitiesWhat you’ll do Working with the Project teams, business stakeholders, technical SMEs, , Data Insights on a growing portfolio of interactive dashboards across many product teams Create new datasets and sophisticated dashboards Understand the data and business processes across all applicaitons, all data domains Advocate best practises for development across our teams What you’ll bringMust Have Expert in SQL, Hadoop, BigData, Hive, NifiAbility to analyse the construction of existing reports and reverse engineer table relationships etc Strong knowledge of the Retail Domain and experience with various stages of data warehouse projects, including data extraction, cleansing, aggregation, validation, transformation, and loading.Exp in using DataStage components such as Sequential File, Join, Sort, Merge, Lookup, Transformer, Remove Duplicates, Copy, Filter, Funnel, Dataset, Change Data Capture, and Aggregator.Strong at database commands (DDL and DML) and data warehousing implementations models.Hands on exp with the Hadoop ecosystem, including HDFS, Hive, Sqoop, NiFi, and YARN.Familiar with Mainframe ESP for job scheduling.Understanding of branched development – dev, qa, prod etc Passionate about data and it’s potential Desired: Experience of analyzing Lobs, data bases, writing scripts. Experience of connecting to additional sources such as Azure, MySql CI/CD experience Education: Bachelor’s degree in Computer Science or equivalent. Candidates without Computer Science or Information Technology degree should have significant work experience. Not checking every single requirement? If this role sounds good to you, even if you don’t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills. Let’s meet and you may just be the right candidate for one of our roles. At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity. Apply Apply Later ← Back to Current Openings Share lang: en_US Share LinkedIn Facebook Twitter Email Similar Jobs Powered by Jobvite

      Ness Digital Engineering Careers { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-06-23", "description": "

      Why NessWe know that people are our greatest asset. Our staff\u2019s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world\u2019s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.You\u2019ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression.You\u2019ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities and attractive compensation.\u00A0\u00A0Requirements and responsibilitiesWhat you\u2019ll do\u00A0\u00A0
      • Working with the Project teams, business stakeholders, technical SMEs, , Data Insights on a growing portfolio of interactive dashboards across many product teams \u00A0
      • Create new datasets and sophisticated dashboards \u00A0
      • Understand the data and business processes across all applicaitons, all data domains\u00A0
      • Advocate best practises for development across our teams \u00A0
      \u00A0\u00A0What you\u2019ll bringMust Have\u00A0
        • Expert in SQL, Hadoop, BigData, Hive, Nifi
        • Ability to analyse the construction of existing reports and reverse engineer table relationships etc\u00A0
        • Strong knowledge of the Retail Domain and experience with various stages of data warehouse projects, including data extraction, cleansing, aggregation, validation, transformation, and loading.
        • Exp in using DataStage components such as Sequential File, Join, Sort, Merge, Lookup, Transformer, Remove Duplicates, Copy, Filter, Funnel, Dataset, Change Data Capture, and Aggregator.
        • Strong at database commands (DDL and DML) and data warehousing implementations models.
        • Hands on exp with the Hadoop ecosystem, including HDFS, Hive, Sqoop, NiFi, and YARN.
        • Familiar with Mainframe ESP for job scheduling.
        • Understanding of branched development \u2013 dev, qa, prod etc \u00A0
        • Passionate about data and it\u2019s potential \u00A0
        Desired: \u00A0
        • Experience of analyzing Lobs, data bases, writing scripts. \u00A0
        • Experience of connecting to additional sources such as Azure, MySql \u00A0
        • CI/CD experience \u00A0
        Education:\u00A0
        • Bachelor\u2019s degree in Computer Science or equivalent.\u00A0
        • Candidates without Computer Science or Information Technology degree should have significant work experience.\u00A0
        \u00A0\u00A0\u00A0\u00A0Not checking every single requirement?\u00A0If this role sounds good to you, even if you don\u2019t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills.\u00A0Let\u2019s meet and you may just be the right candidate for one of our roles.\u00A0At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity.\u00A0", "hiringOrganization": "Ness Digital Engineering", "employmentType": "Full-Time", "industry": "Data Engineering", "identifier": "ouznAfwK", "jobLocation": [ { "@type": "Place", "address": { "@type": "PostalAddress", "addressLocality": "Ontario", "addressRegion": "Canada", "addressCountry": "Canada" } } ], "jobLocationType": "TELECOMMUTE", "title": "Data Analyst", "baseSalary": { "@type": "MonetaryAmount", "currency": "", "value": { "@type": "QuantitativeValue", "minValue": "", "maxValue": "", "unitText": "" } } } Data Analyst Data EngineeringRemote, Ontario, Canada Apply Description Why NessWe know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.You’ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression.You’ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities and attractive compensation. Requirements and responsibilitiesWhat you’ll do Working with the Project teams, business stakeholders, technical SMEs, , Data Insights on a growing portfolio of interactive dashboards across many product teams Create new datasets and sophisticated dashboards Understand the data and business processes across all applicaitons, all data domains Advocate best practises for development across our teams What you’ll bringMust Have Expert in SQL, Hadoop, BigData, Hive, NifiAbility to analyse the construction of existing reports and reverse engineer table relationships etc Strong knowledge of the Retail Domain and experience with various stages of data warehouse projects, including data extraction, cleansing, aggregation, validation, transformation, and loading.Exp in using DataStage components such as Sequential File, Join, Sort, Merge, Lookup, Transformer, Remove Duplicates, Copy, Filter, Funnel, Dataset, Change Data Capture, and Aggregator.Strong at database commands (DDL and DML) and data warehousing implementations models.Hands on exp with the Hadoop ecosystem, including HDFS, Hive, Sqoop, NiFi, and YARN.Familiar with Mainframe ESP for job scheduling.Understanding of branched development – dev, qa, prod etc Passionate about data and it’s potential Desired: Experience of analyzing Lobs, data bases, writing scripts. Experience of connecting to additional sources such as Azure, MySql CI/CD experience Education: Bachelor’s degree in Computer Science or equivalent. Candidates without Computer Science or Information Technology degree should have significant work experience. Not checking every single requirement? If this role sounds good to you, even if you don’t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills. Let’s meet and you may just be the right candidate for one of our roles. At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity. Apply Apply Later ← Back to Current Openings Share lang: en_US Share LinkedIn Facebook Twitter Email Similar Jobs Powered by Jobvite

        { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-06-23", "description": "

        Why NessWe know that people are our greatest asset. Our staff\u2019s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world\u2019s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.You\u2019ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression.You\u2019ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities and attractive compensation.\u00A0\u00A0Requirements and responsibilitiesWhat you\u2019ll do\u00A0\u00A0
        • Working with the Project teams, business stakeholders, technical SMEs, , Data Insights on a growing portfolio of interactive dashboards across many product teams \u00A0
        • Create new datasets and sophisticated dashboards \u00A0
        • Understand the data and business processes across all applicaitons, all data domains\u00A0
        • Advocate best practises for development across our teams \u00A0
        \u00A0\u00A0What you\u2019ll bringMust Have\u00A0
          • Expert in SQL, Hadoop, BigData, Hive, Nifi
          • Ability to analyse the construction of existing reports and reverse engineer table relationships etc\u00A0
          • Strong knowledge of the Retail Domain and experience with various stages of data warehouse projects, including data extraction, cleansing, aggregation, validation, transformation, and loading.
          • Exp in using DataStage components such as Sequential File, Join, Sort, Merge, Lookup, Transformer, Remove Duplicates, Copy, Filter, Funnel, Dataset, Change Data Capture, and Aggregator.
          • Strong at database commands (DDL and DML) and data warehousing implementations models.
          • Hands on exp with the Hadoop ecosystem, including HDFS, Hive, Sqoop, NiFi, and YARN.
          • Familiar with Mainframe ESP for job scheduling.
          • Understanding of branched development \u2013 dev, qa, prod etc \u00A0
          • Passionate about data and it\u2019s potential \u00A0
          Desired: \u00A0
          • Experience of analyzing Lobs, data bases, writing scripts. \u00A0
          • Experience of connecting to additional sources such as Azure, MySql \u00A0
          • CI/CD experience \u00A0
          Education:\u00A0
          • Bachelor\u2019s degree in Computer Science or equivalent.\u00A0
          • Candidates without Computer Science or Information Technology degree should have significant work experience.\u00A0
          \u00A0\u00A0\u00A0\u00A0Not checking every single requirement?\u00A0If this role sounds good to you, even if you don\u2019t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills.\u00A0Let\u2019s meet and you may just be the right candidate for one of our roles.\u00A0At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity.\u00A0", "hiringOrganization": "Ness Digital Engineering", "employmentType": "Full-Time", "industry": "Data Engineering", "identifier": "ouznAfwK", "jobLocation": [ { "@type": "Place", "address": { "@type": "PostalAddress", "addressLocality": "Ontario", "addressRegion": "Canada", "addressCountry": "Canada" } } ], "jobLocationType": "TELECOMMUTE", "title": "Data Analyst", "baseSalary": { "@type": "MonetaryAmount", "currency": "", "value": { "@type": "QuantitativeValue", "minValue": "", "maxValue": "", "unitText": "" } } } Data Analyst Data EngineeringRemote, Ontario, Canada Apply Description Why NessWe know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.You’ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression.You’ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities and attractive compensation. Requirements and responsibilitiesWhat you’ll do Working with the Project teams, business stakeholders, technical SMEs, , Data Insights on a growing portfolio of interactive dashboards across many product teams Create new datasets and sophisticated dashboards Understand the data and business processes across all applicaitons, all data domains Advocate best practises for development across our teams What you’ll bringMust Have Expert in SQL, Hadoop, BigData, Hive, NifiAbility to analyse the construction of existing reports and reverse engineer table relationships etc Strong knowledge of the Retail Domain and experience with various stages of data warehouse projects, including data extraction, cleansing, aggregation, validation, transformation, and loading.Exp in using DataStage components such as Sequential File, Join, Sort, Merge, Lookup, Transformer, Remove Duplicates, Copy, Filter, Funnel, Dataset, Change Data Capture, and Aggregator.Strong at database commands (DDL and DML) and data warehousing implementations models.Hands on exp with the Hadoop ecosystem, including HDFS, Hive, Sqoop, NiFi, and YARN.Familiar with Mainframe ESP for job scheduling.Understanding of branched development – dev, qa, prod etc Passionate about data and it’s potential Desired: Experience of analyzing Lobs, data bases, writing scripts. Experience of connecting to additional sources such as Azure, MySql CI/CD experience Education: Bachelor’s degree in Computer Science or equivalent. Candidates without Computer Science or Information Technology degree should have significant work experience. Not checking every single requirement? If this role sounds good to you, even if you don’t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills. Let’s meet and you may just be the right candidate for one of our roles. At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity. Apply Apply Later ← Back to Current Openings Share lang: en_US Share LinkedIn Facebook Twitter Email Similar Jobs

          Data Analyst

          Data EngineeringRemote, Ontario, Canada

          ,