Data Engineer

Job Description: Sales Engineer

1. Identify and develop new business opportunities for electrical equipment

in industrial and commercial sectors.

2. Build and maintain strong customer relationships to drive repeat and

referral business.

3. Understand customer technical requirements and provide appropriate

product solutions.

4. Conduct product presentations, demos, and negotiations to close sales

effectively.

5. Coordinate with the technical and service teams for installation and after-

sales support.

6. Achieve monthly and quarterly sales targets as assigned by the

management.

7. Prepare sales forecasts, reports, and market intelligence data.

8. Attend industry events, exhibitions, and customer visits to promote

product visibility.

9. Ensure timely follow-up on inquiries and maintain accurate records in

CRM.

10. Stay updated on competitor activities, market trends, and new

technologies.

Industry : Electrical Equipment Manufacturer

About The Company

Raneso is software company specializing in the creation of custom IT solutions for web, mobile, and desktop.

We offer visually engaging and user-centric interactive solutions tailored to the business needs.

We are looking for a Business Development Executive and as a BDE you'll contribute to and develop integrated marketing campaigns to promote a product, service or idea.

Roles and Responsibilities:-

·        Identify target Clients. Approach and gather desired outcomes of marketing

·        Research and develop marketing plan, and evaluate success strategy for bringing in new clients.

·        Understand client requirements.

·        Outbound client acquisition through social media and networks.

·        Create awareness and develop the brand.

·        Communicate with target audience, build and develop customer relationship.

·        Help with marketing plans, advertising, direct marketing and campaigns.

·        Maintain and update customer databases.

·        Develop relationships with key stakeholders, both internal and external.

Key Skills Required:-

·        Excellent communication skills and the ability to network.

·        Teamwork Skills.

·        Adaptability and ability to juggle multiple reports.

·        Strong attention to details.

·        Good organisation and planning skills.

·        Creativity, writing and designing skills.

Eligibility criteria:-

·        Someone who is passionate about his/her work.

·        Excellent problem-solving skills.

·        Ability to work in a team-oriented, collaborative environment.

·        Ability to manage priorities and work in a fast-paced environment.

Experience:-

·        0-12months of experience.

·        Has already been a part of the project.

Qualifications:- BBA/B.COM/MBA or any other graduate

Salary:- As per the company norms and based on experience

Must Have:-

·        Own Bike

·        Driving License

Benefits:-

·        Travel Allowance

·        Incentives

·        Medical Health Benefits

·        EPFO

·        A fantastic work culture and environment to work in

Location:- Ranchi, Jharkhand (on site)

Work Location - Bangalore

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

• Build and enhance the software stack for modelling and data analytics
• Incorporate relevant data related algorithms in the products to solve business problems and improve them over time
• Automate repetitive data modelling and analytics tasks
• Keep up to date with available relevant technologies, to solve business problems
• Become a subject matter expert and closely work with analytics users to understand their need & provide recommendations/solutions
• Help define/share best practices for the business users and  enforce/monitor that best practices are being incorporated for better efficiency (speed to market & system performance)
• Share daily/weekly  progress made by the team
• Work with senior stakeholders & drive the discussions independently
• Mentor and lead a team of software developers on analytics related product development practices

Qualifications:

• 10-13 years of data engineering experience.
• Experience in working on machine-learning model deployment/scoring, model lifecycle management and model performance measurement.
• In-depth understanding of statistics and probability distributions, with experience of applying it in big-data software products for solving business problems
• Hands-on programming experience with big-data and analytics related product development using Python, Spark and Kafka to provide solutions for business needs.
• Intuitive with good interpersonal-skills, time-management and task-prioritization
• Ability to lead a technical team of software developers and mentor them on good software development practices.
• Ability to quickly grasp the business problem and nuances when put forth.
• Ability to quickly put together an execution plan and see it through till closure.
• Strong communication, presentation and influencing skills.

Education:

• Bachelor’s/University degree or equivalent experience
• Data Science or Analytics specialization preferred

• Business – Product understanding | Requirement Analysis | Expectation Management

1. Designs Technical Solutions (30%)

• Design / Propose cross-system / solutions for business requirements
• Understand and leverage existing systems
• Market – technology trend | What is happening/cooking in lending eco-system

1. Schedule Management (30%)

• Create project plans
• Monitor Delivery Timeline
• Facilitate stakeholder communication

1. Think Big (10%)

• Cultivation of ideas
• Search opportunity | Create an opportunity
• Grab opportunity | Ride opportunity

Desired Profile: System Integrator – Tech, solution specialist, Business Analyst, PMO, part of the product team, etc

Must-Know: lending eco-system, cloud strategy/offering, etc, Documentation n Presentation, Influencer in a way, etc

Nice to have: Knowledge of modern architecture, data warehouse - lead generation/curation/analytics, in-depth knowledge of any LOS / LMS / BRE / LCS / accounting, six sigma, scrum practice, active on social media, entrepreneur, worked in Start-up, etc.