BDM

Bay Mortgage Services; New Delhi; On-site; INR 600,000 - 800,000; Full time

Job summary

Bay Mortgage Services is looking for a Data Analyst in New Delhi, India to manage master data, develop reports, and troubleshoot data issues. This role demands attention to detail, strong analytical skills, and expertise in data analysis tools. Responsibilities include interpreting data trends, developing data systems, and ensuring data integrity. A Bachelor’s degree in a relevant field along with proven experience is necessary. Join us to leverage data in streamlining business processes and delivering insightful reports.

Qualifications

• Proven working experience as a data analyst or business data analyst.
• Technical expertise regarding data models, database design development, data mining and segmentation techniques.
• Strong knowledge and experience with reporting packages.

Responsibilities

• Interpret data, analyze results using statistical techniques and provide ongoing reports.
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Filter and 'clean' data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.

Skills

Data analysis

Statistical techniques

Data mining

Reporting tools

Analytical skills

Communication skills

Excel

SPSS

SAS

Education

Bachelors’ degree in Mathematics, Economics, Computer Science, Information Management or Statistics

Job description

We are looking to hire a Data 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 deep understanding of the popular data analysis tools and databases

Responsibilities

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities
• Use statistical methods to analyze data and generate useful business report
• Identify and recommend new ways to save money by streamlining business processes
• Use data to create models that depict trends in the customer base and the consumer population as a whole
• Work with departmental managers to outline the specific data needs for each business method analysis project
• Evaluating changes and updates to source production systems.
• Training end users on new reports and dashboards.
• Providing technical expertise on data storage structures, data mining, and data cleansing.
• Supporting initiatives for data integrity and normalization.

Skill sets/Experience we require

• Proven working experience as a data analyst or business data analyst
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge and experience with reporting packages
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Good written and verbal communication skills.
• Bachelors’ degree in Mathematics, Economics, Computer Science, Information Management or Statistics