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Job Description – Senior Technical Business Analyst

Location: Trivandrum (Preferred) | Open to any location in India

Shift Timings - 8 hours window between the 7:30 PM IST - 4:30 AM IST

About the Role

We are seeking highly motivated and analytically strong Senior Technical Business Analysts who can work seamlessly with business and technology stakeholders to convert a one-line problem statement into a well-defined project or opportunity. This role is ideal for fresh graduates who have a strong foundation in data analytics, data engineering, data visualization, and data science, along with a strong drive to learn, collaborate, and grow in a dynamic, fast-paced environment.

As a Technical Business Analyst, you will be responsible for translating complex business challenges into actionable user stories, analytical models, and executable tasks in Jira. You will work across the entire data lifecycle—from understanding business context to delivering insights, solutions, and measurable outcomes.

Key Responsibilities

Business & Analytical Responsibilities

• Partner with business teams to understand one-line problem statements and translate them into detailed business requirements, opportunities, and project scope.
• Conduct exploratory data analysis (EDA) to uncover trends, patterns, and business insights.
• Create documentation including Business Requirement Documents (BRDs), user stories, process flows, and analytical models.
• Break down business needs into concise, actionable, and development-ready user stories in Jira.

Data & Technical Responsibilities

• Collaborate with data engineering teams to design, review, and validate data pipelines, data models, and ETL/ELT workflows.
• Build dashboards, reports, and data visualizations using leading BI tools to communicate insights effectively.
• Apply foundational data science concepts such as statistical analysis, predictive modeling, and machine learning fundamentals.
• Validate and ensure data quality, consistency, and accuracy across datasets and systems.

Collaboration & Execution

• Work closely with product, engineering, BI, and operations teams to support the end-to-end delivery of analytical solutions.
• Assist in development, testing, and rollout of data-driven solutions.
• Present findings, insights, and recommendations clearly and confidently to both technical and non-technical stakeholders.

Required Skillsets

Core Technical Skills

• 6+ years of Technical Business Analyst experience within an overall professional experience of 8+ years
• Data Analytics: SQL, descriptive analytics, business problem framing.
• Data Engineering (Foundational): Understanding of data warehousing, ETL/ELT processes, cloud data platforms (AWS/GCP/Azure preferred).
• Data Visualization: Experience with Power BI, Tableau, or equivalent tools.
• Data Science (Basic/Intermediate): Python/R, statistical methods, fundamentals of ML algorithms.

Soft Skills

• Strong analytical thinking and structured problem-solving capability.
• Ability to convert business problems into clear technical requirements.
• Excellent communication, documentation, and presentation skills.
• High curiosity, adaptability, and eagerness to learn new tools and techniques.

Educational Qualifications

• BE/B.Tech or equivalent in:
• Computer Science / IT
• Data Science

What We Look For

• Demonstrated passion for data and analytics through projects and certifications.
• Strong commitment to continuous learning and innovation.
• Ability to work both independently and in collaborative team environments.
• Passion for solving business problems using data-driven approaches.
• Proven ability (or aptitude) to convert a one-line business problem into a structured project or opportunity.

Why Join Us?

• Exposure to modern data platforms, analytics tools, and AI technologies.
• A culture that promotes innovation, ownership, and continuous learning.
• Supportive environment to build a strong career in data and analytics.

Skills: Data Analytics, Business Analysis, Sql

Must-Haves

Technical Business Analyst (6+ years), SQL, Data Visualization (Power BI, Tableau), Data Engineering (ETL/ELT, cloud platforms), Python/R

Title:- Java Backend Developer

Location:- Chennai ll Kochi ll Trivandrum

Employment Type:- Full time

Experience Required:- 5+ years

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 5 to 11 years of relevant work experience in Java development.
• Java, Spring, Spring boot, Micro services

Additional Skills (Optional):

Experience with cloud platforms such as AWS, Azure, or Google Cloud.

Knowledge of Agile methodologies and tools like Jira.

Good communication and teamwork skills.

Skills: Java, Spring boot, Implementation, Healthcare

Our client is a leading mid-market investment bank with strong practices around M&A, PE, Capital Markets, Institutional Equities, Wealth Management, Insurance Broking & Portfolio Management Services. 

Candidate shall be responsible for:

• Relationship management focusing on acquiring and nurturing mid-sized & large Corporates.

• Own the overall sales strategy on lead management, team & targets for your region focusing profitability and market share.

• Strong network across C-level executives of large & mid-sized corporates. • Build the overall sales playbook, training and recruit a sales team to grow quickly across the region.

• Design value proposition/ client acquisition pitches and knack of closing deals efficiently 

• Update and educate oneself continuously on happenings in marketplace, local environment, opportunities etc. which have direct bearing on local operations. • Ensure all necessary knowledge enhancement efforts (including certifications wherever applicable). 

• Good networking with the Insurance Companies / TPAs & other key stake holder relevant to insurance broking arena.

Requirements

Qualification: MBA (Finance / Marketing) or equivalent degree from Tier I & II campus.

Experience: 6 to 10 years of exp in General Insurance Broking / Sales mainly into relationship management.

Other Requirement: 

• Superior technical skills required to understand and propose products or solutions by focusing on client requirements.

• Demonstrated ability to manage multiple stakeholders, communicate effectively with executives and balance competing priorities.

• Strategic thinker with excellent communication skills and attention to detail, as well as having the ability to communicate complex details simply.

Data Delivery Manager is responsible for managing and overseeing the end-to-end delivery of data

solutions, from data architecture and ingestion to processing, analysis, and reporting. This role

ensures that data projects are completed on time, within scope, and aligned with business

objectives. The Data Delivery Manager works with cross-functional teams, including data

engineers, analysts, and other stakeholders, to deliver high-quality data solutions. Key

Responsibilities: Project and Program Management: o Lead and manage the delivery of data-

driven projects, ensuring they are completed on time and within budget. o Develop and maintain

project plans, timelines, and resource allocation. o Monitor project progress and proactively

identify risks, implementing solutions to ensure successful project completion. o Ensure alignment

between data initiatives and business goals, maintaining continuous communication with

stakeholders. Stakeholder Engagement: o Serve as the primary point of contact between business

stakeholders and the data team, translating business requirements into technical specifications. o

Collaborate with business leaders to understand data needs and develop solutions that meet

those needs. o Provide regular updates on project status, risks, and key deliverables to

stakeholders and leadership teams. o Facilitate meetings to gather requirements and

communicate project milestones. Data Strategy & Architecture: o Oversee the design and

implementation of data solutions that support business objectives. o Ensure adherence to data

governance and quality standards throughout the data pipeline lifecycle. o Collaborate with data

architects to define scalable, secure, and high-performance data architectures. o Support data

integration initiatives across different platforms, ensuring smooth and efficient data flow. Team

Leadership and Development: o Manage cross-functional teams of data engineers, analysts, and

other professionals to deliver projects effectively. o Provide leadership and mentoring to team

members, fostering a culture of collaboration, innovation, and continuous learning. o Set clear

expectations, performance goals, and career development opportunities for the team. o Address

and resolve any team challenges, ensuring high levels of productivity and motivation. Quality

Assurance: o Ensure the accuracy, reliability, and quality of data solutions by implementing robust

testing, validation, and review processes. o Develop and enforce data standards, best practices,

and methodologies to ensure consistent, high-quality deliverables. o Drive continuous

improvement initiatives, analyzing past projects and identifying areas for enhancement. Risk

Management and Troubleshooting: o Identify potential risks to project delivery, including data

pipeline issues, resource shortages, or technical blockers, and implement mitigation strategies. o

Troubleshoot and resolve data-related issues and challenges during the project lifecycle.

Reporting and Analytics: o Oversee the creation and maintenance of data dashboards, reports, and

performance metrics. o Ensure that data solutions provide actionable insights for the business,

driving informed decision-making. Experience: o 5+ years of experience in managing programs

related to data management, data engineering, or analytics. o Proven track record in managing

data projects and delivering data solutions in a timely manner. o Experience with data integration,

data warehousing, and data modeling. o Strong understanding of data pipeline management, ETL

processes, and data analytics. Skills: o In-depth knowledge of data management tools and

technologies (e.g., SQL, NoSQL, ETL tools, cloud platforms such as AWS, Google Cloud, or Azure).

o Proficient in project management methodologies (Agile, Scrum, Waterfall). o Strong leadership

and team management skills, with the ability to drive collaboration across different functions. o

Excellent communication skills with the ability to translate complex data-related concepts into

understandable terms for non-technical stakeholders. o Analytical mindset with strong problem-

solving abilities. o Knowledge of data visualization and reporting tools (e.g., Power BI, Tableau,

Looker) is a plus. Certifications: o Project Management Professional (PMP) or Scrum Master

certification (preferred). o Data-related certifications (e.g., AWS Certified Big Data, Google

Professional Data Engineer) are a plus. Preferred Skills: o Experience with big data technologies

(e.g., Hadoop, Spark, Kafka). o Familiarity with machine learning or AI applications related to data

solutions. o Experience with data governance and compliance (e.g., GDPR).

• Understanding the non-functional requirements from business.
• Analyzing the critical business scenarios.
• Analyzing the service level agreement objectives.
• Developing the test scripts.
• Enhancing the scripts by creating/implementing. ...
• Designing workload model.
• Test Execution.

As the Field Marketing Manager, you will be responsible for developing and executing marketing campaigns and programs to support the sales team in driving revenue growth in targeted geographic regions. You will work closely with sales, product, and marketing teams to plan and execute regional marketing programs that generate demand and increase brand awareness.

Roles and Responsibilities:

• Planned, create, and execute marketing campaigns and programs that align with the sales team’s objectives and drive revenue growth in specific geographic regions.
• Collaborate closely with the sales team to understand their needs and develop marketing strategies and materials that support their efforts in generating leads, nurturing prospects, and closing deals.
• Conduct thorough research and analysis to identify key market segments, customer profiles, and regional trends. Use this information to develop regional marketing plans and initiatives that effectively reach the target audience and drive demand.
• Work with the marketing team to ensure consistent brand messaging and positioning in all regional marketing efforts. Collaborate on the development of marketing materials, including digital content, advertisements, event materials, and social media campaigns, to enhance brand awareness and build a strong market presence.
• Planned, coordinate, and execute regional events, trade shows, and conferences to generate leads and increase brand visibility. This includes managing logistics, coordinating with vendors and partners, developing event messaging and materials, and tracking event performance.

Requirements:

• Bachelor’s degree in marketing, business, or a related field.
• 5+ years of experience in field marketing or a related role, preferably in the technology industry.
• Proven track record of creating and executing successful field marketing programs and campaigns.
• Strong project management and organizational skills, with the ability to manage multiple projects simultaneously.
• Excellent communication skills, both written and verbal, with the ability to effectively collaborate with cross-functional teams.
• Demonstrated ability to work independently, prioritize tasks, and meet deadlines in a fast-paced environment.
• Experience with marketing automation platforms, such as Hubspot or Marketo, and CRM systems, such as Salesforce.

·        Minimum 4+ years of experience as a Fullstack Developer with expertise in Angular, React, and Golang.

·        Strong knowledge and hands-on experience in database technologies such as PostgreSQL, Redis, and Cassandra.

·        Proficiency in front-end development using Angular and React frameworks.

·        Solid understanding of server-side development using Golang and building RESTful APIs.

·        Experience with database design, optimization, and query optimization techniques.

·        Familiarity with version control systems (e.g., Git), issue tracking tools, and agile methodologies.

·        Strong problem-solving and analytical skills.

·        Excellent communication and collaboration abilities.

Ability to work effectively in a fast-paced, dynamic environment and meet project 

Causality Biomodels is an Indo-German life science informatics company that focuses on the development of data-based solutions in the bioinformatics sector. Specifically, we work using semantic integration & information extraction methods, knowledge & data organization, and advanced statistical & machine learning techniques in the context of life sciences.

The team Causality Biomodels is searching for a full stack developer with a strong focus on Python, capable of taking on a lead developer role.

You will be mainly focusing on the following areas:

• Implementing new features by modifying our backend system and UI according to the product backlog and discussions with the team.
• Rapid prototyping to explore new directions based on current research developments.
• Design, development and maintenance of APIs, as well as product and add-on components.
• Maintenance of code integrity and organization.

The requirements are:

• Successfully completed bachelor’s or master’s degree in computer science or in related fields such as Bioinformatics.
• At least 2 years of professional software engineering experience.
• High proficiency in Python and ability to write clean and well-documented code (must).
• Experience with cloud-based development using AWS (preferred), GCP or Azure.
• Experience with Docker and container-based deployment.
• Proficiency in JavaScript.
• Experience with at least one database system (SQL or no-SQL).
• High familiarity with Git.
• Experience with agile development practices.
• Experience with CI/CD and automated testing.
• Very strong English skills (both verbal and written).

Bonus points for:

• Knowledge about machine learning or data science.
• Experience with Python packages SpaCy, scikit-learn, flask and fastapi.
• Experience with JavaScript libraries React and Redux/Context.
• Experience with Gitlab CI/CD pipelines.
• Experience working with knowledge graph data.
• Knowledge and experience in bioinformatics methods.