Associate – Performance Marketing

We are seeking a detail-oriented and reliable Accountant to manage financial records and ensure accurate reporting of the company’s financial activities. The Accountant will be responsible for preparing and maintaining accounting records, financial statements, and reports in compliance with applicable laws, regulations, and company policies.

Key responsibilities include recording daily financial transactions, managing accounts payable and receivable, reconciling bank statements, and maintaining general ledger accounts. The role also involves preparing monthly, quarterly, and annual financial reports, assisting in budgeting and forecasting, and supporting internal and external audits.

The Accountant will ensure timely filing of tax returns, GST/TDS compliance (if applicable), and coordination with auditors and regulatory authorities. Monitoring expenses, analyzing financial data, and identifying cost-saving opportunities are also part of the role.

The ideal candidate should have strong knowledge of accounting principles, financial regulations, and accounting software. Attention to detail, analytical skills, and the ability to meet deadlines are essential. Good communication skills and the ability to work independently or as part of a team are required. This role plays a vital part in maintaining the financial integrity and stability of the organization.

We are looking for A highly skilled Full Stack .NET Developer with strong hands-on experience in C#, .NET Core, ASP.NET Core, Web API, and Microservices Architecture. Proficient in developing scalable and high-performing applications using SQL Server, NoSQL databases, and Entity Framework (v6+). Recognized for excellent troubleshooting, problem-solving, and communication skills, with the ability to collaborate effectively with cross-functional and international teams, including US counterparts.

• Minimum 3yrs of exp in building React native apps for android and iOS
• Solid understanding of iOS and Android ecosystems.
• Must have worked on hardware integration with the apps.
• Understanding of various navigation models in mobile apps
• Good at debugging, testing, performance optimization.
• Interpersonal skills: good team player, ready to take challenges ability to deliver in a fast-paced environment.

• Build pixel-perfect, buttery smooth UIs across both mobile platforms.
• Leverage native APIs for deep integrations with both platforms.
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.

What you’ll be doing

 Weare much more than our job descriptions, but here is where you will begin:

 As a Senior Software Engineer Data & ML You’ll Be:

 ● Architect, design, test, implement, deploy, monitor and maintain end-to-end backend

 services. You build it, you own it.

 ● Work with people from other teams and departments on a day to day basis to ensure

 efficient project execution with a focus on delivering value to our members.

 ● Regularly aligning your team’s vision and roadmap with the target architecture within your

 domain and to ensure the success of complex multi domain initiatives.

 ● Integrate already trained ML and GenAI models (preferably GCP in services.

ROLE:

 Whatyou’ll need,

 Like us, you’ll be deeply committed to delivering impactful outcomes for customers.

 What Makes You a Great Fit

 ● 5 years of proven work experience as a Backend Python Engineer

 ● Understanding of software engineering fundamentals OOPS, SOLID, etc.)

 ● Hands-on experience with Python libraries like Pandas, NumPy, Scikit-learn,

 Lang chain/LLamaIndex etc.

 ● Experience with machine learning frameworks such as PyTorch or TensorFlow, Keras, being

 proficient in Python

 ● Hands-on Experience with frameworks such as Django or FastAPI or Flask

 ● Hands-on experience with MySQL, MongoDB, Redis and BigQuery (or equivalents)

 ● Extensive experience integrating with or creating REST APIs

 ● Experience with creating and maintaining CI/CD pipelines- we use GitHub Actions.

 ● Experience with event-driven architectures like Kafka, RabbitMq or equivalents.

 ● Knowledge about:

 o LLMs

 o Vector stores/databases

 o PromptEngineering

 o Embeddings and their implementations

 ● Somehands-onexperience in implementations of the above ML/AI will be preferred

 ● Experience with GCP/AWS services.

 ● You are curious about and motivated by the future trends in data, AI/ML, analytics

Skills:

• 8+ years of software development experience using traditional software development life cycle methodologies (covering requirements, design, development, testing and Implementation of n-tier architecture)
• Extensive experience with object-oriented software development methodologies and practices. Strong in following technologies
• OOAD/OOPS/UML, Design Patterns, MVC, Spring, Hibernate, Java, J2EE
• UI technologies AngularJS, HTML5, CSS3, java script library, Ajax and other UI frameworks
• Exposure to component model design, SOA, open sources framework/tools
• Web Services, JMS, XML, SQL& Oracle
• Must have exposed with Test Driven Development/Re-factoring ideas/ Domain driven design patterns/continuous integration/Build Automation / Data-Mapper framework/Mocks.

Good to Have: Microservices

Competencies:

• Experience in developing platforms or frameworks, components
• Excellent knowledge of the open source software/ tools/ technologies

• Communicating with users
• Collecting data about user service trends
• Recording and responding to user issues
• Developing strategies to retain users
• Work closely with the product team
• have worked with tools like Moengage

• Create & Manage dashboards on various Mobile & web tools like Clevertap, Branch, Google Analytics, Zoho Page Sense, Firebase, and other data tools that marketing and product teams use on a daily basis.
• Create richer & holistic (collating multiple data sources/platforms) dashboards and reports on Tableau & Metabase for Product, Marketing & Business teams.
• Improve dashboards & set up alert systems on Sentry, Firebase, GA for product & technology teams to timely catch fatal crashes, errors.

Deliver data-backed insights & periodic analysis reports

• Perform deep data analysis to identify issues, trends, opportunities, and improvements possible in Acquisition, Activation, Transactions, Conversion Ratios & other driving product metrics. Present findings to product, marketing, and business stakeholders.
• Perform analysis to assess the success of ongoing product initiatives, provide insights to product managers & designers to iterate product features and flows.
• Create & Track product and marketing funnels to identify growth opportunities and problem areas. Collaborate with PMs and Designers to discover underlying reasons for drop points. Analyze Funnel, Cohort, Trends, LTV, DAU, MAU, Retention & user behavior using data & help teams make data-driven decisions.

Define measurement & success criteria for experiments, new features, and A/B tests.

• Collaborate with Product Manager to design, execute and analyze A/B tests, define target KPIs & control segments.
• Help Product Managers define success criteria and measurement standards for new features and product offerings.
• Ensure technical setup is there to MONITOR important KPIs and collect custom events data. Define custom events & properties to be tracked on Clevertap, GA, Zoho Page Sense.

Drive increased engagement & retention using Clevertap

• Define AARRR KPIs and Optimize them with CT multi-channel journeys by continuously performing A/B tests.
• Create detailed and diverse user segments to identify high, medium & low activity cohorts. Create strategies to increase the size of high-activity cohorts.
• Analyze website & mobile traffic, create user journeys & campaigns to enable cross-channel product experience and marketing.

Manage, Mentor & lead Product Analytics

• Act as an Analytics Subject Matter Expert in the team. Train, hire, and manage a team of analysts. Setup collaborative processes & management practices to help teams achieve important analytics goals.
• Assist the Product stakeholders to make data-driven decisions to achieve short and long-term goals relating to product growth.
• Collaborate & hire analysts to improve the overall product analysis capabilities.
• Research and be updated with upcoming technologies and trends in digital product analytics.
  
  

Experience

• Bachelor’s Degree in Computer Science, Engineering or any other related field.
• 4+ years of experience in mobile/web application analytics, business analytics, must have led or managed a team before.

Technical Skills

• In-depth knowledge & hands-on experience of digital analytics software like Zoho Page Sense, Google Analytics, CleverTap, Branch, Firebase, Facebook Analytics.
• Expertise in dash-boarding tools like Tableau, Metabase, and Excel.
• Experience with data warehousing concepts and ETL development and tools
• Fetching and manipulating large data sets using SQL / Hive.
• Analyzing and visualizing large data sets: R / python.

Soft Skills

• Ability to prioritize and manage multiple milestones and projects efficiently.
• Team spirit, good time-management skills, strong communication skills to collaborate with various stakeholders.
• Detail-oriented, advanced problem-solving skills with customer-centric approach.