4,592 Data Specialist jobs in India

This is a career-defining opportunity for an experienced Power BI Administrator to join our organization and drive the full lifecycle administration of the Power BI platform across the enterprise.

The ideal candidate will possess a strong understanding of Power BI admin portals and environment management, as well as experience with Power BI Workspace, dataset, and report migration. Additionally, they should have familiarity with Azure services and Microsoft 365 administration.

• About the Role:
• Administer and maintain Power BI services including patches, updates, user/group security (Active Directory), account provisioning, and capacity management.
• Configure and manage data gateways to enable secure access to on-prem and cloud data sources.
• Set up and monitor Gateway Virtual Machines and manage service principal creation and access.
• Automate environment configurations, deployments, and integrations using Power BI REST APIs and PowerShell scripting.
• Manage and enforce Data Loss Prevention (DLP) policies at both tenant and environment levels.
• Support license management and workspace migrations across Microsoft 365 and Power BI Premium capacities.
• Provide documentation and maintain administrative best practices, procedures, and standards.
• Monitor system performance, usage analytics, and implement proactive alerting and logging mechanisms.
• Offer production and user support, including participation in a rotational on-call schedule.
• Troubleshoot issues related to Azure AD, networking, and firewall configurations.
• Engage in continuous improvement by proposing innovations and enhancements in the Power BI landscape.

• Education: Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Experience:
• 7+ years of experience in Business Intelligence or Information Management.
• 3+ years of dedicated experience in Power BI Administration.
• Strong knowledge of Power BI admin portals and environment management.
• Experience with Power BI Workspace, dataset, and report migration.
• Familiarity with Azure services and Microsoft 365 administration.
• Technical Skills:
• Proficiency in PowerShell scripting.
• Hands-on experience with Power BI REST APIs.
• Understanding of networking, firewall, and AD integration within Azure environments.
• Competency in optimizing Power BI for performance, governance, and scalability.

Job Title: Business Intelligence Developer

We are seeking a skilled and experienced Business Intelligence Developer to join our team. As a Business Intelligence Developer, you will play a crucial role in empowering data-driven decision-making across the organization by designing, building, and maintaining insightful and interactive dashboards and reports.

Responsibilities

• Create robust and well-documented data models using LookML to support diverse business requirements.
• Design, build, and deploy interactive and visually appealing dashboards and reports in Looker that effectively communicate key insights.
• Collaborate with stakeholders to gather requirements, understand their needs, and translate them into technical specifications.
• Optimize Looker performance, including LookML models and data models, for scalability, efficiency, and a great user experience.
• Implement data visualization best practices to ensure clear and effective communication of data insights.
• Work with stakeholders to define and track key performance indicators (KPIs) and build visualizations to monitor them.
• Diagnostics and resolution of Looker-related issues, ensuring high availability and reliability of the platform.
• Stay up-to-date with the latest Looker and Google Cloud Platform features, best practices, and advancements.

Qualifications

• Mandatory Skills
• LookML Development : Strong proficiency in LookML development, including explores, views, dimensions, measures, and derived tables. Must be able to write clean, efficient, and reusable LookML. Having a Looker certification is a plus.
• Advanced SQL : Excellent SQL skills for data querying, manipulation, and analysis. Must be comfortable with complex queries and data transformations.
• Data Warehousing Knowledge : In-depth understanding of data warehousing concepts (star schemas, snowflake schemas, etc.) and data modeling techniques.
• Data Visualization Skills : Proven experience creating clear, insightful, and user-friendly data visualizations. Experience with Looker's visualization options is essential.
• Requirements Gathering : Ability to translate business requirements into technical solutions, working effectively with both technical and non-technical stakeholders.
• Problem-Solving : Excellent problem-solving and analytical skills, with a strong attention to detail.
• Communication & Collaboration : Strong written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams.
• Educational Requirements
• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.

Benefits

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Work on challenging and impactful projects
• A collaborative and supportive work environment

Job Title: HR Data Analytics Specialist

Job Description:

We are seeking a detail-oriented and analytical HR Data Analytics Specialist to join our Human Resources team. The ideal candidate will leverage data-driven insights to support HR initiatives, optimize workforce planning, enhance employee engagement, and improve HR processes. This role requires a strong understanding of HR metrics, data analysis tools, and the ability to communicate findings effectively.

Key Responsibilities:

• Collect, analyze, and interpret HR data related to recruitment, onboarding, employee performance, retention, and engagement.
• Develop and maintain dashboards and reports to provide real-time insights into HR metrics.
• Support workforce planning and talent management strategies through data analysis.
• Identify trends, patterns, and areas for improvement within HR processes.
• Collaborate with HR and other departments to design data collection strategies and ensure data accuracy.
• Conduct predictive analytics for turnover, succession planning, and workforce optimization.
• Ensure data privacy, security, and compliance with legal regulations.
• Assist in the implementation of HR technology solutions and data management systems.

Qualifications:

• Bachelor’s degree in Human Resources, Data Science, Statistics, or a related field.
• Proven experience in HR analytics, data analysis, or a similar role.
• Proficiency in analytics tools such as Excel, Tableau, Power BI, or similar.
• Strong understanding of HR metrics, KPIs, and best practices.
• Excellent analytical, problem-solving, and critical thinking skills.
• Effective communication and presentation skills to present complex data insights clearly.
• Knowledge of HRIS systems and data privacy regulations.

Preferred Skills:

• Experience with AI and machine learning applications in HR.
• Familiarity with payroll, benefits, and talent management systems.
• Certification in HR analytics or data analysis (e.g., HR Analytics Certification, SQL, etc.).

.

About this Role:

We are looking for a skilled professional to build out a centralized data mart for accessing data and facilitating data modeling.

We are seeking a skilled Data Scientist to join our team. As a Data Scientist, you will play a key role in driving business growth by leveraging data insights and machine learning algorithms.

Your primary responsibility will be to analyze and preprocess diverse datasets relevant to the mortgage industry, ensuring data quality and relevance for model training.

You will also research and implement state-of-the-art NLP models, focusing on pre-training as well as instruction tuning pre-trained LLMs for mortgage-specific applications.

In addition, you will develop and optimize machine learning algorithms to enhance model performance, accuracy, and efficiency.

Collaboration with domain experts is essential to incorporate industry knowledge into model development, ensuring outputs are relevant and actionable.

Experimentation is crucial to validate model hypotheses, analyze results, and iterate on model improvements.

Maintaining comprehensive documentation of methodologies, experiments, and results is vital to support transparency and reproducibility.

Ethics and bias mitigation are critical to ensure responsible AI practices, including identifying potential biases in data and models and implementing strategies to mitigate them.

Technical Expertise: A strong background in machine learning, deep learning, and NLP is required. Proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch are necessary.

NLP Knowledge: Experience with NLP frameworks and libraries (e.g., Hugging Face Transformers) for developing language models is essential.

Data Handling: Proficiency in handling large datasets, feature engineering, and statistical analysis is necessary.

Problem Solving: Strong analytical skills with the ability to solve complex problems using data-driven approaches are required.

Communication: Excellent communication skills to effectively collaborate with technical teams and non-technical stakeholders are essential.

We offer a competitive salary and benefits package, including opportunities for professional growth and development.

A supportive work environment with a diverse team of professionals who share your passion for data science.

The chance to work on challenging projects that drive business growth and make a real impact.

Ongoing training and education to stay up-to-date with the latest technologies and trends in data science.

Disclaimer: Our hiring process is fair, transparent, and merit-based. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels.

Job Title: HR Data Analytics Specialist

Job Description:

We are seeking a detail-oriented and analytical HR Data Analytics Specialist to join our Human Resources team. The ideal candidate will leverage data-driven insights to support HR initiatives, optimize workforce planning, enhance employee engagement, and improve HR processes. This role requires a strong understanding of HR metrics, data analysis tools, and the ability to communicate findings effectively.

Key Responsibilities:

• Collect, analyze, and interpret HR data related to recruitment, onboarding, employee performance, retention, and engagement.
• Develop and maintain dashboards and reports to provide real-time insights into HR metrics.
• Support workforce planning and talent management strategies through data analysis.
• Identify trends, patterns, and areas for improvement within HR processes.
• Collaborate with HR and other departments to design data collection strategies and ensure data accuracy.
• Conduct predictive analytics for turnover, succession planning, and workforce optimization.
• Ensure data privacy, security, and compliance with legal regulations.
• Assist in the implementation of HR technology solutions and data management systems.

Qualifications:

• Bachelor’s degree in Human Resources, Data Science, Statistics, or a related field.
• Proven experience in HR analytics, data analysis, or a similar role.
• Proficiency in analytics tools such as Excel, Tableau, Power BI, or similar.
• Strong understanding of HR metrics, KPIs, and best practices.
• Excellent analytical, problem-solving, and critical thinking skills.
• Effective communication and presentation skills to present complex data insights clearly.
• Knowledge of HRIS systems and data privacy regulations.

Preferred Skills:

• Experience with AI and machine learning applications in HR.
• Familiarity with payroll, benefits, and talent management systems.
• Certification in HR analytics or data analysis (e.g., HR Analytics Certification, SQL, etc.).

.

Position overview

• 2-Year Maximum-Term Contract, Full-Time opportunity
• True hybrid working – work from home and our Mitcham office
• $166,650 Total Remuneration Package inclusive of 12% superannuation

About us
We’re on a mission to create a brighter future, where you can be a change maker at the actual source. We’re one of Australia’s largest water utilities with over 30% of Victoria’s population relying on us for their essential water and sanitation services.

Our award-winning culture fosters an inclusive, collaborative, and flexible environment that enables our people to thrive. Here, you’ll be inspired and challenged to grow alongside us.

We're committed to reconciliation and supporting the self-determined role for Traditional Owners/Custodians in water and land management.

The Role
Join our team as a Senior Data Analytics Specialist and help shape the future of data-driven innovation. In this pivotal role, you'll design and build scalable, high-performance data solutions that power analytics, reporting, and machine learning across the organisation. We're looking for someone who’s passionate about data, thrives in a dynamic environment, and loves tackling complex challenges head-on.

Your key responsibilities

• Design and maintain scalable data pipelines using Azure Data Factory, Databricks, and Delta Lake.
• Build optimised Lakehouse and Data Warehouse models using medallion architecture.
• Implement CI/CD pipelines with Azure DevOps to automate and streamline data workflows.
• Develop and manage orchestration workflows, ensuring high performance across Azure data services.
• Translate business needs into scalable, reusable data solutions in close collaboration with stakeholders.
• Support reporting, dashboard development, and analytics in partnership with business SMEs.
• Contribute to enterprise data strategy and ensure alignment with governance and architectural standards.
• Manage platform releases, deployments, and provide advanced (Level 3) support for analytics systems.
• Collaborate with DBAs and infrastructure teams to maintain performance, availability, and disaster recovery readiness.
• Build strong cross-functional relationships to promote data adoption and support business success.

What we’re looking for

• 10+ years of experience in data engineering, analytics development, or enterprise data platforms.
• Demonstrated experience in data architecture, dimensional modelling, and CI/CD practices for data delivery.
• Proven expertise in Azure data ecosystem and Databricks
• Bachelor’s degree in computer science, Data Engineering, Information Systems, or a related technical discipline.

To view the full position description, click HERE.

Why Yarra Valley Water?
We celebrate and encourage new thinking at every level. Creating opportunities for you to grow – both professionally, and personally. When you flourish, we all do.

• $66,650 Total Remuneration Package inclusive of 12% superannuation
• Flexible working arrangements where our people are empowered to design their days with their team. Read our hybrid playbook HERE.
• 650 home office set up allowance for eligible employees
• Free and secure on-site parking with on-site café at our Mitcham office
• 14 weeks paid leave parental leave
• 15 days paid personal leave, which can be used for caring, wellbeing, mental health, menstrual or menopause
• Request to swap certain public holidays for another day of paid leave

To read more about our benefits and culture, read our employee handbook HERE .

Did you know?
Research shows that men apply to jobs when they meet an average of 60% of the criteria, while women and other marginalised people tend to only apply when they meet all of them. So, if you think you have what it takes, but don't necessarily tick every box, please apply or get in touch. We'd love to have a chat and see if you could be a great fit.

How to apply
Applications should include a supporting Cover Letter and Resume. 
Closing date: Thursday 24th July 2025
This position is available for Yarra Valley Water employees and external applicants.

We welcome applications from everyone, including Aboriginal and/or Torres Strait Islander peoples, people with disability, mature age and young job seekers, members of the LGBTIQA+ community and people of all cultural backgrounds. If you need this information in an accessible format or would like to discuss reasonable adjustments during the recruitment process, please call 03 9872 2542 or email . If you need any help with the application process or would like to discuss the recruitment process, please contact us via email .

Successful applicants must be eligible to work in Australia and agree to provide information for pre-employment checks, if required for the position. This may also include a Police Check or AusCheck, where an offer will be subject to a satisfactory outcome of these checks.

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