11+ Competitor Analysis Jobs in Pune | Competitor Analysis Job openings in Pune

Responsibilities:

·      - Develop and implement comprehensive marketing strategies for both online and offline sales channels.

·      - Generate leads and drive sales through digital marketing, social media, email campaigns, and traditional marketing methods.

·      - Manage and nurture relationships with clients and customers to ensure satisfaction and repeat business.

·      - Analyze market trends, competitors, and customer behavior to adjust strategies and improve sales performance.

·      - Prepare and present detailed sales reports, forecasts, and performance metrics to senior management.

·      - Coordinate with the marketing team to create promotional materials and campaigns.

·      - Attend industry events, trade shows, and networking opportunities to promote the company and generate new business.

·      - Provide training and support to junior sales staff.

Qualifications:

·      - Bachelor’s degree in Marketing, Business Administration, or related field.

·      - 3 years of experience in online and offline marketing with a proven track record of achieving sales targets.

·      - Strong knowledge of digital marketing tools and techniques, including SEO, PPC, social media, and email marketing.

·      - Excellent communication, negotiation, and presentation skills.

·      - Ability to analyze data and market trends to make informed decisions.

·      - Proficiency with CRM software and other sales tools.

·      - Self-motivated, results-oriented, and able to work independently as well as part of a team.

- Willingness to travel as needed for client meetings and industry events.

Roles and Responsibilities: 

▪ Data Pipeline Development: Build, deploy, and maintain efficient ETL/ELT pipelines using Azure 

Data Factory, Data Factory & Azure Synapse Analytics. 

▪ We are only looking for senior candidates with over 5 yrs of relevant exp with ample client 

facing exp.

· Finance/Insurance experience is also a must. 

▪ Data Modelling & Warehousing: Design and optimize data models, warehouses, and lakes for 

structured/unstructured data. 

▪ SQL & Query Optimization: Write complex SQL queries, optimize performance, and manage 

databases. · Python Automation: Develop scripts for data processing, automation, and 

integration using Python (Pandas, NumPy). 

Technical Skills: 

▪ Cloud Technologies: Azure Synapse Analytics, Azure Fabric, Azure Databricks and AWS(good to 

have) 

▪ Knowledge of Python, Pyspark, SQL, ETL concepts 

▪ Good understanding of Insurance Operations and KPI reporting is an advantage. 

🚀 Hiring: Java Developer at Deqode

⭐ Experience: 4+ Years

📍 Location: Indore, Pune, Mumbai, Nagpur, Noida, Kolkata, Bangalore,Chennai

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

Requirements

✅ Strong proficiency in Java (Java 8/11/17)

✅ Experience with Spring / Spring Boot

✅ Knowledge of REST APIs, Microservices architecture

✅ Familiarity with SQL/NoSQL databases

✅ Understanding of Git, CI/CD pipelines

✅ Problem-solving skills and attention to detail

Qualifications:

• Proven experience in sales, preferably in a branding, marketing, or creative agency environment. Ideally 2-4 years
• Strong understanding of branding principles, design, and marketing strategies.
• Excellent communication and presentation skills.
• Results-driven with a track record of meeting or exceeding sales targets.
• Ability to build and maintain strong client relationships.
• Bachelor's degree in Business, Marketing, or a related field is preferred.

If interested kindly share your updated resume at 82008 31681

As a Lead Artificial Intelligence Engineer at Leapfrog Technology, you will be at the forefront of shaping the future of data-driven solutions. You'll lead a talented team, drive the development of innovative AI projects, and work collaboratively across functions to turn complex business challenges into actionable insights.

Key Responsibilities:

● Leadership Excellence: Lead and inspire a team of AI Engineers and Data Scientists, fostering a culture of innovation, collaboration, and continuous growth.

● End-to-End Ownership: Take full ownership of the AI project lifecycle, from ideation and design to development, deployment, and maintenance.

● Technological Innovation: Explore and assess emerging technologies to enhance the performance, maintainability, and reliability of AI systems.

● Engineering Best Practices: Apply robust software engineering practices to AI, including CI/CD pipelines, automation, and quality assurance.

● Architectural Leadership: Collaborate with technology experts to make informed architectural decisions, and ensure thorough technical documentation.

● Risk Mitigation: Proactively identify and address project risks, conduct root cause analysis, and implement preventive measures.

● Cross-functional Collaboration: Engage closely with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers, to deliver impactful data-driven solutions.

● Continuous Learning: Stay at the cutting edge of data science, ML, and AI developments, and leverage emerging technologies to solve complex business problems.

● Mentorship and Growth: Coach and motivate team members, identify training needs, and foster their professional development.

● Organizational Excellence: Actively uphold and promote the company's culture, processes, and standards to ensure consistent excellence in our work.

Job requirements

Education and Experience:

• A degree (Masters preferred) in Computer Science, Engineering, Artificial Intelligence, Data Science, Applied Mathematics, or related fields.
• Minimum 6+ years of hands-on experience in AI/ML or Data Science, preferably in real industry settings, with a track record of building data products that have positively impacted customer satisfaction and revenue growth.

Technical Skills:

• Proficiency in a wide range of Machine Learning techniques and algorithms, with the ability to apply advanced analytics methods, including Bayesian statistics, clustering, text analysis, time series analysis, and neural networks on large-scale datasets.
• Expertise in at least one specialized area of application, such as Computer Vision or Natural Language Processing (NLP). (NLP Expertise preferred)
•  Strong programming skills in Python, including expertise in the data ecosystem (Numpy, Scipy, Pandas, etc.) or equivalent skills in languages like R, Java, Scala, or Julia, with a focus on producing production-quality code.
• Hands-on experience with popular ML frameworks like Scikit-Learn, PyTorch, or TensorFlow.
• Expertise with Generative AI and Large Language Models (LLMs) along with their implementation in real-life applications.
• Experience building end-to-end ML systems (MLOps).
• Experience in deploying code in web frameworks such as Flask, FastAPI or Django.
• Experience working in a cloud environment like AWS, Azure, or GCP for ML work.
• Good grasp of SQL/NoSQL databases and scripting skills, particularly within analytics platforms and data warehouses.
• Good grasp of software engineering concepts (SDLC, Version Control, CI/CD, Containerization, Scalability and so on), programming concepts, and tools/platforms like Git and Docker.
• Bonus: Experience with Big Data technologies such as Apache Spark, Kafka, Kinesis, and cloud-based ML platforms like AWS SageMaker or GCP ML Engine.
• Bonus: Experience with data visualization and dashboard tools like Tableau or Power BI.

    Soft Skills:

• Highly motivated, self-driven, entrepreneurial mindset, and capable of solving complex analytical problems under high-pressure situations.
• Ability to work with cross-functional and cross-regional teams.
• Ability to lead a team of Data/AI professionals and work with senior management, technological experts, and the product team.
• Excellent written and verbal communication skills, comfortable with client communication.
• Good leadership skills - ability to motivate and mentor team members, ability to plan and make sound decisions, ability to negotiate tactfully with the client and team.
• Results-oriented, customer-focused with a passion for resolving tough technical and operational challenges.
• Possess excellent analytical and problem-solving abilities.
• Good documentation skills.
• Experienced with Agile methodologies like Scrum/Kanban

Designation – Delivery Manager

Location – Ahmedabad/Pune

Experience – 12 to 18 Years

We are looking candidate who can join us immediately or max in 30 days.

Responsibilities 

Delivery Manager is responsible for owning the delivery of strategic account and the projects within the account. It includes providing inputs on project planning and management for established initiatives. He/She will act as lead subject matter expert within the company regarding technology and domain concerns. Additionally, they will hire and train team member to support business need. They use their industry expertise to improve all aspects of project planning and resource management. 

Bachelor/master's degree in Project Management or Technology field is required with 15+ years of experience. Hands on or working experience with one of more technology like Java, Angular, Mobile Native Development, Cloud – AWS/GCP is must. Individuals who can work well in a collaborative environment and pay meticulous attention to detail, willing to get their hands dirty to solve the problem are the key expectations from the role.

Responsibilities for Delivery Manager

• Working with key project stakeholders to formulate and communicate the business vision, to envision initial requirements, and to scope the project.
• Working closely with key stakeholders to understand project scope and requirements in terms of features and capabilities, understand business processes required to ensure end-to-end delivery of intended project results.
• Identifying and tracking deliverables while gathering and documenting project risks, issues, assumptions, and dependencies and also own Release management
• Practices Agile methodologies like scrum/Kanban and demonstrate best practices to the team in not just execution, but to plan and present a high level plan for project.
• Own multiple projects either in or outside the same account
• Prioritize and updates task schedules. Identifies issues and resolve roadblocks.
• Creating and maintaining all project documentation and project plans.
• Tracking and reporting project progress to stakeholders on agreed cadence.
• Solid understanding of project management methodology and quality metrics is a MUST
• Ability to lead geographically distributed team with varied skills
• Strong people skills, should clearly define career growth plan, give constructive and critical feedback and promote collaborative team culture.
• Communicate the project-related tasks such as plans, timelines, requirements, etc. between different teams.
• Coordinate the release schedule and resources required depending upon the third-party APIs / dependencies, defect backlogs, planned releases, and infrastructure updates.
• Identify the risks that can delay the release and manage them, such that the scope scheduled, and quality of the release is not affected.
• Track the progress and find issues, if any. Always work to improve the process of release.
• Schedule the release readiness reviews before deployment and milestone reviews after each release. Create plans for the implementation and deployment as per the release schedule.
• Provide an exhaustive view of the project status dashboard, plan and give weekly/daily executive status
• Lead the Go-Live activities to deploy the software successfully.
• Team up with relevant development teams responsible for building the automation tools used to develop and deploy the software.
• Schedule the Release meetings to discuss the release schedules with the team and find roadblocks, if any.
• Maintain documentation related to procedures on build and release, various notifications lists, and dependencies.
• Make improvements in the methodologies used for configuration management and development of software that helps to find ways to use in configuration management.

Qualifications for Delivery Manager

• Strong leadership and organizational skills with excellent communication (written and verbal), time management, project planning, people and team building skills.
• Prior experience in managing either of mobile (iOS & Android), Java, or cloud (GCP/AWS) projects is must.
• Conflict resolution to understand various obstacles and apply negotiation skills to find optimal solutions.
• Minimum of 15 + years of career experience out of which minimum 5 years should as developer & 10+ years of experience in managing or performing IT development projects using an Agile approach
• Experience in developing and executing plans, meeting deadlines and operating under tight time constraints.
• Knowledge of development technical stack on mobile, Java, Git source code management, code review process, implementing best technical guidelines would 
  qualify as frontrunner for this role
• Growth mindset & collaboration are distinguishing factors required to succeed in this role
• Ability to bridge gaps with high-level stakeholders.
• Experience with JIRA and JIRA Agile.
• Experience working with distributed teams across different locations and time zones in a culturally diverse environment.
• Demonstrated experience of projects growth is must for this role
• Engineering Degree in Computer Science is must for this role
• Technical & Project Management certifications are desired.