Business Development Executive

About The Company

Opening for IT MNC Company

Role: Talent Acquisition (Specialist / Manager)

Job Location : Andheri East ( Chakala)

Exp : 4 to 12 years

Working Days: 6 Days a Week

Key Responsibilities

Desired Skills

4-12 years of experience in HR with major exposure in Talent

Acquisition, preferably in the IT industry.

• Bachelor’s or Master’s degree in Human Resources (Mandatory)

About the role

You bring experience from organizations where marketing analytics is taken seriously—whether that’s a global technology company, an Indian consumer tech company, a data-driven marketing organization, or a specialist analytics firm. You understand the discipline of marketing science and the craft of building teams that do it well.

Required Qualifications

• 8+ years of hands-on experience in data science, marketing analytics, or applied measurement, Deep expertise in Marketing Mix Modeling (MMM): methodology, tooling, business integration, and stakeholder communication.
• Strong knowledge of marketing attribution, incrementality testing, and causal inference methods (geo-testing, diff-in-diff, synthetic controls, uplift modeling).
• Experience with performance forecasting and budget optimization in a marketing context.
• Proven ability to manage and influence senior stakeholders across functions and geographies.
• Strong executive communication skills: comfortable presenting complex methodology and business implications to senior marketing and business leaders.
• Deep proficiency in SQL and Python or R; experience operating in production analytics environments.
• Comfort operating in a globally distributed team environment with US-based counterparts.

Nice to Have

• Exposure to offline marketing analytics, brand measurement, or upper-funnel attribution.
• Experience scaling and modernizing legacy marketing measurement infrastructure.
• Familiarity with dbt, Databricks, Snowflake, Airflow, or comparable data infrastructure.
• Experience building or managing analytics teams across multiple geographies.
•  

What Sets You Apart

• You build measurement frameworks that marketing leaders actually use to make decisions—not just deliver reports
• You communicate across the spectrum—from walking an analyst through a causal design to presenting budget implications to a CMO
• You hold a high bar for analytical credibility while being pragmatic about delivery timelines
• You build strong cross-geography partnerships 
• You stay technically grounded even as your scope grows—you know when to go hands-on and when to step back

About Us

Our brand specializes in creaating bespoke corporate clothing and uniforms, handling every stage from design to delivery. With a focus on quality, innovation, and customer satisfaction, we provide tailored solutions for businesses and organisations.

Job Summary

We're seeking a highly organized and detail-oriented Female Operations Executive to join our team. The ideal candidate will manage day-to-day operations, ensure seamless task execution, and possess excellent communication skills.

Responsibilities

- Manage client relationships and communicate via email, phone, and messaging platforms

- Coordinate with internal teams for timely delivery of products/services

- Track deliveries and follow up with logistics partners

- Provide administrative support, including data entry and report generation

- Collaborate with the team to identify process improvements

- Manage front desk operations, handle enquiries, and process orders

- Generate invoices, manage sales/purchase reports, and oversee daily operations

- Create e-way bills, DCs, and update POs

Requirements

- Proficiency in English (written and verbal)

- Basic conversation ability in Telugu/Hindi (preferable)

- Excellent communication and interpersonal skills

- Expertise in fabrics and merchandising is a must.

- Ability to work independently and as a team

- Willingness to learn and grow with the brand

- Basic computer skills (Microsoft Office, Google Workspace, and email writing)

- A degree in Fashion Design or a related field is a plus.

- Basic Photoshop and design skills are appreciated.

What We Offer

- Opportunity to work with a growing brand

- Collaborative and dynamic work environment

- Professional growth and development opportunities

- Competitive salary package (2.5 - 3 lakhs per annum)

Work Details

- Front Desk, Office Job

- Location: Sanath Nagar, Hyderabad

- Timings: 9:00 am - 6:00 pm

About Company

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

Objective:

• To manage complete back-office operations related to insurance broking business.

• SAIBA (Insurance broking software) based transactions management.

• Business renewals and retention

Roles & Responsibilities:

• Entry / booking of new / renewal business.

• Tracking the proposal end to end from booking, issuance, endorsement, and brokerage recovery.

• Recon of broking account statements and raising of invoices with insurance companies and timely collection of commission

• Follow-up with insurance companies for brokerage recovery

• Rapport building with insurance companies.

• Follow-up with internal stakeholders for requirement closure

• Create reports and dashboards and publish to internal and external stakeholders and management on a timely basis.

• Follow-up with IT team for reporting and closure of systems bugs/ issues

• Reconciliation Management

• Data Management

Requirements:

• Graduation / Post Graduation. Insurance related qualification would be added advantage.

• 2 -3 years of relevant experience

• Strong proficiency on MS- Excel. Good working knowledge of MS Office – Word, PowerPoint, and Outlook

• Experience of working in the space of insurance broking operations

• Conversant to SAIBA software or any other insurance broking software

• Good cross functional coordination capabilities with internal stakeholders like Finance, compliance, internal audit etc.

• Excellent skills in Microsoft Excel

• Good communication skills

• Good hold on data and datacentric assignments

About Digit88 

Digit88 empowers digital transformation for innovative and high growth B2B and B2C SaaS companies as their trusted offshore software product engineering partner! 

We are a lean mid-stage software company, with a team of 75+ fantastic technologists, backed by executives with deep understanding of and extensive experience in consumer and enterprise product development across large corporations and startups. We build highly efficient and effective engineering teams that solve real and complex problems for our partners. 

With more than 50+ years of collective experience in areas ranging from B2B and B2C SaaS, web and mobile apps, e-commerce platforms and solutions, custom enterprise SaaS platforms and domains spread across Conversational AI, Chatbots, IoT, Health-tech, ESG/Energy Analytics, Data Engineering, the founding team thrives in a fast paced and challenging environment that allows us to showcase our best. 

The Vision: To be the most trusted technology partner to innovative software product companies world-wide

The Opportunity: 

As the Data Science Lead, you will own and drive the company's data initiatives, managing a team of data scientists, and ensuring the

As a Data Scientist II, you will be part of the Product Risk Operations team that owns the development of AI-powered technology that helps our clients make communities safer and more resilient. Our technology helps our customers in reducing carbon emissions, reducing infrastructure risk and avoiding fatalities, a fact that we pride ourselves in.

As a part of the Risk Operations team, you will be working on a wide range of activities related to end-to-end Machine Learning (ML) deployments, research and development of ML product features to support internal and external stakeholders.  This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion.

What You’ll Do

• Become a subject matter expert on products, including understanding how AI can be used in the utilities industry to enable our clients desired outcomes.
• Work closely with cross-functional teams to identify opportunities, design experiments and deploy repeatable and scalable machine learning solutions that drive business impact.
• Lead design of experiments and hypothesis tests related to machine learning product features development. 
• Lead design, implementation, and deployment of machine learning models to support existing as well as new customers.
• Communicate findings and recommendations to both technical and non-technical stakeholders through clear visual presentations.
• Monitor and analyze machine learning model performance and data accuracy.
• Mentor junior staff members.
• Stay current with best practices in data science, machine learning and AI.

Who You Are

• 3-5 years of experience building and deploying machine learning models
• Master’s or PHD in statistics, mathematics, computer science or another quantitative field
• Strong problem solving skills with emphasis on product development.
• Well versed in programming languages such as R or Python with experience using libraries such as pandas, scikit-learn, tensor flow .
• Experience with SQL and relational databases for data extraction and manipulation.
• Experience using a variety of Machine Learning techniques for Predictive Modeling, Classification, Natural Language Processing (including Large Language Models), Content Recommendation Systems, Time Series Techniques 
• Passionate about being up-to-date with the latest developments in Machine Learning 
• Strong organizational, time management, and communication skills
• High degree of accountability
• Utility, Infrastructure or Energy related field experience is a plus

Benefits/Culture @ Digit88: 

• Comprehensive Insurance (Life, Health, Accident) 
• Flexible Work Model 
• Accelerated learning & non-linear growth 
• Flat organisation structure driven by ownership and accountability. 
• Opportunity to own and be a part of some of the most innovative and promising AI/SaaS product companies in North America and around the world. 
• Accomplished Global Peers - Working with some of the best engineers/professionals globally from the likes of Apple, Amazon, IBM Research, Adobe and other innovative product companies 
• Ability to make a global impact with your work, leading innovations in Conversational AI, Energy/Utilities, ESG, HealthTech, IoT, PLM and more. 

You will work with a founding team of serial entrepreneurs with multiple successful exits to their credit. The learning will be immense just as will the challenges. 

This is the right time to join us and partner in our growth!

Your day to day responsibilities shall encompass:

• Contact prospective customers by both telephone and email
• Market Research to develop warm leads 
• Responsible for generating leads for the category/market assigned
• Conduct outbound calls to prospective clients
• Set appointments or close deals with clients
• Identifying customer needs and communicating the client's value proposition.
• Answering customers’ questions, resolving their queries, and helping provide outstanding customer service
• Maintain a pipeline of leads based on the targets assigned
• Manage and develop your own diary, schedule call-backs, and future opportunities
• Report weekly sales goals and objectives to regional leaders

What you’ll need to succeed in the role:

• Good communication skills – you need to be able to have informative and engaging conversations with the customers
• Fearless attitude and a hunter mentality
• Active listening – is crucial for great customer satisfaction rates, especially via phone
• Time management – if you manage your time efficiently, you can build meaningful relationships with your clients and close more deals
• Organizational skills – you juggle multiple tasks and work with many accounts on a daily basis
• Problem-solving – you have to be adaptable to various situations
• Conflict management – your ability to resolve any conflicts that may arise directly affects your sales opportunities
• Collaborative skills – it’s crucial that you are a team player
• Interpersonal skills – you have to be able to provide a great sales experience throughout the whole buying journey

Walk-in Interviews

Monday to Friday - 11 AM to 6 PM

Location: 448, 5th Main Rd, Sector 6, HSR Layout, Bengaluru, Karnataka 560102

JOB SKILLS & QUALIFICATIONS

WHAT YOU'LL DO

• Design model serving solutions and develop machine learning-based applications. services, and APIs so as to productionise machine learning models.
• Set and maintain engineering standards while to grow and go far.
• Partner with the Data Scientists (those who actually build, train and evaluate ML models) to provide an end-to-end solution for machine learning-based projects.
• Foster the technological evolution of services and improve their end-to-end quality attributes.
• Be committed to Continuous Integration and Continuous Deployment.

 Preferred Skills

• Familiarity with the engineering aspects of some of popular machine learning practices, libraries, and platforms (e.g. MLflow, Kubeflow, Mleap, Michelangelo, Feast, HopsWorks, MetaFlow, Zipline, Databricks, Spark, MLlib, PyTorch, TensorFlow, and Scikit-learn among others).
• Comfortable dealing with trade-offs project delivery and quality, especially those involving latency, throughput, and http://transactions.proven/">transactions.
• Experience Continuous Integration & Continuous Deployment processes and platforms, software design patterns and APIs.
• A person that enjoys staying on top of all the best practices and tools of modern software engineering, while being a advocate of code quality and continuous improvement.
• Someone interested in large-scale systems and passionate about solving complex problems while being open and comfortable with changes in the tech stack the teams use.