Data or Business Analyst
HRM Counsel · India
- Hybrid
- Full-time
- $85,000 / year
- India
Job highlights
- Manage master data, reports, and data quality.
- Develop and maintain reporting environments.
- Collaborate with stakeholders on data initiatives.
- Analyze tools, databases, and provide solutions.
- Requires a computer science degree and analytical skills.
About the role
Data or Business Analyst
HRM Counsel is looking to hire a Data or Business Analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases.
Responsibilities:
- Managing master data, including creation, updates, and deletion.
- Managing users and user roles.
- Provide quality assurance of imported data, working with quality assurance analysts if necessary.
- Commissioning and decommissioning of data sets.
- Processing confidential data and information according to guidelines.
- Helping develop reports and analyses.
- Managing and designing the reporting environment, including data sources, security, and metadata.
- Supporting the data warehouse in identifying and revising reporting requirements.
- Supporting initiatives for data integrity and normalization.
- Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
- Generating reports from single or multiple systems.
- Troubleshooting the reporting database environment and reports.
- Evaluating changes and updates to source production systems.
- Training end-users on new reports and dashboards.
- Providing technical expertise in data storage structures, data mining, and data cleansing.
Requirements:
- Bachelor’s degree from an accredited university or college in computer science.
- Work experience as a Data or Business Analyst or in a related field.
- Ability to work with stakeholders to assess potential risks.
- Ability to analyze existing tools and databases and provide software solution recommendations.
- Ability to translate business requirements into nontechnical, lay terms.
- High-level experience in methodologies and processes for managing large-scale databases.
- Demonstrated experience in handling large data sets and relational databases.
- Understanding of addressing and metadata standards.
- High-level written and verbal communication skills.
Key skills/competency:
- Data Analysis
- Business Analysis
- Database Management
- Reporting
- Data Quality Assurance
- SQL
- Data Mining
- Data Cleansing
- Stakeholder Management
- Communication Skills
Skills & topics
- Data Analyst
- Business Analyst
- Data Management
- Reporting
- Database Management
- Data Quality
- Data Mining
- SQL
- Computer Science
- Data Analysis Tools
How to get hired
- Customize your resume: Highlight your data analysis, reporting, and database management experience. Tailor it to match the responsibilities listed in the Data or Business Analyst job description.
- Showcase technical skills: Emphasize your proficiency with data analysis tools, databases, data mining, and data cleansing. Include specific examples of projects where you utilized these skills.
- Demonstrate business acumen: Provide examples of how you translated business requirements into technical solutions and communicated effectively with stakeholders.
- Prepare for technical interviews: Be ready to discuss your experience with large datasets, relational databases, and troubleshooting reporting issues. Practice SQL queries and data modeling concepts.
- Research HRM Counsel: Understand their mission, values, and any recent news to show genuine interest during your application and interview process.
Technical preparation
Master SQL for database querying.,Practice data visualization tools.,Familiarize with data warehousing concepts.,Understand data cleansing techniques.
Behavioral questions
Describe a complex data issue you solved.,How do you handle conflicting stakeholder needs?,Explain a technical concept to a non-technical audience.,How do you ensure data accuracy and integrity?
Frequently asked questions
- What specific data analysis tools are preferred for the Data or Business Analyst role at HRM Counsel?
- While the job description emphasizes a deep understanding of popular data analysis tools and databases, specific tools are not listed. Candidates should highlight their experience with common tools such as SQL, Python (with libraries like Pandas), R, Tableau, Power BI, or similar platforms. Demonstrating adaptability and a strong foundation in data analysis principles will be key.
- What is the typical career path for a Data or Business Analyst at HRM Counsel?
- While specific career paths vary, a Data or Business Analyst at HRM Counsel can expect opportunities for growth in areas such as senior data analysis, data science, database administration, or leadership roles within the data team. Advancement often involves taking on more complex projects and mentoring junior analysts.
- How does HRM Counsel handle data privacy and security for confidential data?
- HRM Counsel emphasizes processing confidential data and information according to guidelines. Candidates should be prepared to discuss their understanding of data privacy regulations and best practices for handling sensitive information, as this is a critical aspect of the role.
- What kind of reporting projects can a Data or Business Analyst expect at HRM Counsel?
- A Data or Business Analyst at HRM Counsel can expect to be involved in developing and generating reports from single or multiple systems. This includes managing the reporting environment, supporting data warehouse requirements, and training end-users on new reports and dashboards, contributing to data-driven decision-making.
- Is there an opportunity for professional development or training for the Data or Business Analyst position at HRM Counsel?
- The role involves assessing, testing, and implementing new or upgraded software, and training end-users. This suggests a dynamic environment where continuous learning and adaptation to new technologies are encouraged, and opportunities for professional development are likely present.