361 Researchers jobs in Bengaluru

Looking For ETL Data Analyst Having Experience in the Healthcare domain 

Total Exp - 5 to 10 yrs

Loc: Pune/Mumbai/Hyderabad/Bangalore/Chennai (5 days Working – WFO)

Healthcare business and data analysis

• Create source-to-target mapping based on requirements

• Create rules definitions and transformation logic

• Gather and prepare analysis based on information from internal and external sources to evaluate and demonstrate program effectiveness and efficiency, and problem-solving

• Developing scalable reporting processes and querying data sources to conduct ad hoc analyses/detailed data profiling.

• Assume responsibility for data integrity among various internal groups and/or between internal and external sources

• Proficient in SQL understands data modeling concepts and ETL

• Aware of or willing to learn key concepts of Kafka, Databricks, GitHub, Airflow, Azure storage to support DataOps incident remediation work

• Must have an aptitude for learning new data flows quickly and participate in data quality and automation discussions.

• Must be able to take end to end responsibility in quickly solving data issues in production setting and be comfortable in engaging customers as needed for issue resolution

Proficient in Business analysis, Data Analysis, Mapping data from one format to another, Healthcare data experience(must), SQL(must), Snowflake(preferred), Databricks(preferred), Kafka(preferred)

Undergraduate degree or equivalent experience

• 5 or more years of data analysis experience

• 5 or more years of systems analysis/requirement gathering experience

• 3+ year of Health Care/Claims data experience

Key Responsibilities:

• Interpret GC-MS data (primarily EI) for identification of unknowns using spectral deconvolution and comparison to library databases for chemical characterization studies.
• Evaluate spectral quality, match scores, and fragmentation patterns using a weight-of-evidence approach, including critical assessment of database matches.
• Apply knowledge of retention indices and chromatographic behavior to confirm compound identity.
• Collaborate with technical analysts, chemists, and project managers to communicate findings, resolve discrepancies, and meet client expectations.
• Ensure data integrity and compliance with regulatory and accreditation standards (e.G., ISO 10993, ISO 17025, GLP).
• Document findings in established systems, supporting traceability and reporting.
• Contribute to method development and optimization by providing feedback on spectral data trends and anomalies.
• Support improvement of SOPs, templates, and data analysis workflows.
• Identify and troubleshoot potential prep or instrument-related issues affecting data integrity.
• Participate in continuous improvement initiatives and inter-laboratory collaborations.
• Other duties as assigned by management.

Additional Knowledge/Qualifications:

• BS/B.Sc in Chemistry or a related field with 5+ years relevant experience, or MSc./PhD with 2+ years of relevant experience.
• Proficient in interpreting GC-MS and chromatographic data.
• Experience working in a regulated environment (ISO 17025, ISO 10993, GLP/GMP).
• Familiarity with Microsoft Excel for data documentation and review.

Preferred Candidate:

• Background in organic chemistry, including fragmentation patterns under EI/CI, volatility, retention index behavior.
• Experience with extractables & leachables, particularly in a medical device or pharmaceutical context.
• Understanding of instrumental analysis workflows and solution preparation.
• Awareness of how sample prep or instrument anomalies affect data outcomes.
• Familiarity with relevant databases and software for compound identification.

Project description

Our client is a UK subsidiary of a global financial house working in multiple markets and asset classes.

We are currently looking to Senior Data Analyst with solid experience in banking back office. Successful candidate will work in the technology team within Operations for EMEA. The role is for maintenance and enhancement of back office technology platforms, focusing on trade settlement, collateral management, reconciliations, and cash funding processes.

The candidate will work closely with the heads of operations departments and SMEs, operating as a senior data analyst and programmer to support system operation and development.

Strong communication and interpersonal skills are required. The candidate must have a well-organized and structured approach to managing small/medium projects and working with senior stakeholders. The role allows for a good working from office/working from home balance, 2 days in the office are required. The working hours for the role should be close to UK to ensure sufficient intersection with the rest of the team.

Responsibilities

• Support and enhance back-office technology platforms, focusing on trade settlement, collateral management, reconciliations, and cash funding processes.
• Develop and maintain complex SQL queries and scripts for data analysis, reporting, and operational support.
• Collaborate with global technology and business teams to understand requirements and deliver solutions.
• Participate in code reviews, version control (Git), and contribute to best practices around code branching and merging.
• Take ownership of delegated tasks and projects, ensuring timely and high-quality delivery.
• Troubleshoot and resolve issues across multiple systems and interfaces.
• Document processes, workflows, and technical solutions clearly and concisely.

Skills

Must have

Advanced SQL skills (query optimization, data analysis, troubleshooting).

Experience with at least one programming language (Python or Java preferred).

Familiarity with code repositories (Git) and understanding of branching, merging, and code management best practices.

Product knowledge of OTC derivatives, repo, and SBL.

Strong analytical and problem-solving skills.

Experience with XML and MQ messaging.

Ability and experience of working under pressure

both autonomously and within a team.

Ability to liaise with business and IT stakeholders at all levels of the organization.

Exposure to investment banking back office functions, especially trade settlement, collateral management, reconciliations, and cash funding.

Nice to have

• Java, Python, Control-M

Key Responsibilities:

• Analyze and interpret LC-MS data (primarily QTOF) for qualitative and semi-quantitative chemical characterization studies.
• Evaluate mass spectral data using a weight-of-evidence approach, including critical assessment of database matches, fragmentation patterns, isotopic distributions, and chromatographic behavior.
• Collaborate with technical analysts, chemists, and project managers to communicate findings, resolve discrepancies, and meet client expectations.
• Ensure data integrity and compliance with regulatory and accreditation standards (e.G., ISO 10993, ISO 17025, GLP).
• Document findings in established systems, supporting traceability and reporting.
• Contribute to method development and optimization by providing feedback on spectral data trends and anomalies.
• Support improvement of SOPs, templates, and data analysis workflows.
• Identify and troubleshoot potential prep or instrument-related issues affecting data integrity.
• Participate in continuous improvement initiatives and inter-laboratory collaborations.
• Other duties as assigned by management.

Additional Knowledge/ Qualifications:

• BS/B.Sc in Chemistry or a related field with 5+ years relevant experience, or MSc./PhD with 2+ years of relevant experience.
• Proficient in interpreting LC-MS/MS and chromatographic data.
• Experience working in a regulated environment (ISO 17025, ISO 10993, GLP/GMP).
• Familiarity with Microsoft Excel for data documentation and review.

Preferred Candidate:

• Background in organic chemistry, including functional group recognition and mass fragmentation behavior.
• Experience with extractables & leachables, particularly in a medical device or pharmaceutical context.
• Understanding of instrumental analysis workflows and solution preparation.
• Awareness of how sample prep or instrument anomalies affect data outcomes.
• Familiarity with relevant databases and software for compound identification.

• Acquire, process, and interpret remote sensing data (e.g., satellite imagery, LiDAR) for geological applications.
• Develop and apply geological models using integrated datasets, including geophysical and geochemical information.
• Conduct spatial analysis to identify potential resource targets and geological structures.
• Collaborate with geologists and geophysicists to interpret geological features and anomalies.
• Prepare detailed technical reports, maps, and presentations for stakeholders.
• Ensure the quality and accuracy of geological data and interpretations.
• Stay updated on the latest advancements in remote sensing technology and geological modeling software.
• Assist in the planning and execution of field exploration programs based on data analysis.
• Contribute to resource estimation and geological risk assessment.
• Maintain and manage geological databases and GIS projects.

• Master's or Ph.D. in Geological Engineering, Geosciences, or a related field with a focus on remote sensing and GIS.
• 5+ years of professional experience in geological exploration or mining.
• Proven expertise in processing and interpreting various types of remote sensing data.
• Proficiency in GIS software (e.g., ArcGIS, QGIS) and geological modeling software.
• Strong understanding of geological principles, mineralogy, and structural geology.
• Experience with programming languages like Python for data analysis is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong report writing and presentation skills.
• Ability to work collaboratively in a multidisciplinary team.
• Experience in the mining or oil and gas industry is a plus.

Department

Sell-side Research & Operation

Location

Bangalore

Experience

2+ years of experience in Equity Research

Education

Graduation + CFA L3 cleared OR MBA in Finance

Sectors Experience into Metals & Mining and Luxury Goods will be added advantage.

Key Responsibilities

Workflow could include:

• Building and updating financial models with scenario analysis
• Carrying-out DCF, relative, SOTP and other relevant valuation methods
• Developing accurate assumptions and valuation with rationale
• Screening large datasets to identify investment ideas and assisting PMs/CIOs in their investment decisions
• Discussion investment ideas and stock updates with PM/CIO
• Preparing earnings reviews, preview, attend con calls and management meetings
• Preparing pitch notes/presentations, industry and thematic notes
• Creating and updating databases
• Collecting and analyzing news
• Handling ad hoc research request
• Maintain constant communication with the client and other stakeholders

Key Competencies

The analyst should have

• Excellent financial modeling and research report-writing/presentation making skills
• Should have ability to think through drivers and KPIs across broad range of sectors
• Good client relationship management skills and communication skills
• An eye for details and ability to handle multiple workflows with tight deadlines
• Numerical abilities
• Building complex, error-free models with well-defined revenue/cost driver assumptions
• Carrying out earnings sensitivity analysis
• Providing own valuation views after carrying out relative, DCF-based or industry appropriate valuations
• Writing skills
• Writing in a logical and structured manner that requires minimal rework
• Writing bulletins and one-page summaries
• Linking macro/industry analysis to the output
• Building effective presentations
• Others
• Collecting news; summarizing and providing analysis that adds value; and preparing charts, tables, and databases

Job Title : Equity Research Associate

Location : Bangalore (Onsite)

Start Date : October

We are seeking an Equity Research Associate to analyze and evaluate businesses in India.

What You Will Work On:

• You will be a generalist researching a variety of business models with great emphasis on primary research and industry conversations.
• In your first year, you will dig through multiple public and private businesses in India to help build your knowledge base and our team’s research on high-quality businesses.
• You will work on diverse companies across industries ranging from green hydrogen to fast fashion to microfinance.

The Best Candidates Will Have:

• Deep intellectual curiosity and an ability to ask thoughtful questions about business models.
• Winning mentality and self-belief to take on any business in any sector and figure out the key drivers and risks.
• Mental + physical stamina to work long hours and manage several projects per month.
• Commitment to their own development and to the firm’s ambition over time.

Eligibility:

• A degree in Business, Economics, or related fields is preferred.
• BONUS points if you have prior equity research or investing experience.

• Assist senior scientists in designing and executing experiments related to biochemistry and molecular biology.
• Perform laboratory procedures such as cell culture, PCR, Western blotting, and protein purification.
• Collect, record, and analyze experimental data using appropriate software tools.
• Maintain detailed and accurate laboratory notebooks.
• Conduct literature reviews to support research projects.
• Prepare technical reports and present findings to the research team.
• Ensure compliance with all laboratory safety protocols and procedures.
• Contribute to troubleshooting experimental challenges and proposing solutions.
• Collaborate effectively with other members of the research team in a virtual setting.
• Manage laboratory supplies and inventory as needed.
• Learn and apply new scientific techniques and methodologies.