Telesales Executive

Purpose

·        The Analytics and BI Head will collaborate closely with leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions.

·        The candidate will ensure data accuracy and consistent reporting by designing optimal processes and procedures for analytical managers and employees to create and follow.

·        The candidate will manage the processes and people responsible for correct data reporting, modeling, and analysis.

Key Responsibilities

Responsibilities will include but will not be restricted to:

·        Lead cross-functional projects involving advanced data modeling and analysis techniques and review insights that will guide strategic decisions and uncover optimization opportunities.

·        Managing project budgets and financials, including forecasting, monitoring, and reporting.

·        Providing clear and concise instructions to different teams to ensure quality delivery of analysis.

·        Maintain dashboards and performance metrics support that support key business decisions.

·        Planning and executing strategies for completing projects on time.

·        Determining the need for training and talent development.

·        Recruit, train, develop and supervise managerial level employees.

·        Examine, interpret, and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing, and product teams.

·        Oversee the deliverable pipeline, including rationalization, de-duplication, and prioritization.

·        Anticipate future demands of initiatives related to people, technology, budget and business across the departments and review solutions to meet these needs.

·        Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.

Technical Requirements (what)

·        Advanced knowledge of data analysis and modeling principles: KPI Tree creation, Reporting best practices, predictive analytics, statistical and ML based modeling techniques

·        Work Experience of 20+ years in analytics inclusive of 5+ years of experience of leading a team. Candidates from Insurance Industry are preferred.

·        Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.

·        Strong problem solving, quantitative and analytical abilities.

·        Strong ability to plan and manage numerous processes, people, and projects simultaneously.

·        The right candidate will also be proficient and experienced with the following tools/programs:

§ Experience with working on big data environments: Teradata, Aster, Hadoop.

§ Experience with testing tools such as Adobe Test & Target.

§ Experience with data visualization tools: Tableau, Raw, chart.js.

§ Experience with Adobe Analytics and other analytics tools.

Desired Personal Qualities or Behavior

·        Strong leadership qualities, ability to communicate the vision crisply and drive collaboration and innovation.

·        Must be an initiative-taker.

·        Strong diligence, organizational skills, and the ability to manage multiple projects

·        Strong written and verbal communication skills, able to communicate effectively and in a professional manner with all levels of the company and outside vendors.

·        Ability to work in a diverse team environment and effectively support the demanding needs of the company.

·        Ability to work under pressure, meet deadlines with shifting priorities.

Experience:

The candidate should have about 2+ years of experience with design and development in Java/Scala. Experience in algorithm, data-structure, database and distributed System is mandatory.

Required Skills:

Mandatory: -

1. Core Java or Scala
2. Experience in Big Data, Spark
3. Extensive experience in developing spark job. Should possess good Oops knowledge and be aware of enterprise application design patterns.
4. Should have the ability to analyze, design, develop and test complexity of spark job.
5. Working knowledge of Unix/Linux.
6. Hands on experience in Spark, creating RDD, applying operation - transformation-action

Good To have: -

1. Python
2. Spark streaming
3. Py Spark
4. Azure/AWS Cloud Knowledge of Data Storage and Compute side

What is Censius?

Censius is an AI Observability Platform that enables enterprises of all sizes to confidently deploy their machine learning models into production. The company's flagship AI observability platform helps data science initiatives become more accountable and explainable. This all-in-one ML monitoring system allows you to proactively monitor end-to-end ML pipelines for drift, skew, data integrity, and data quality concerns.

Responsibilities

• Contacting potential clients to establish rapport and arrange meetings.
• Planning and overseeing new marketing initiatives.
• Researching organizations and individuals to find new opportunities.
• Increasing the value of current customers while attracting new ones.
• Finding and developing new markets and improving sales.
• Attending conferences, meetings, and industry events.
• Developing quotes and proposals for clients.
• Setting goals for the development team and business growth and meeting them.

Qualifications

• Must have 2+ years of experience in any capacity working in Data/AI/ML companies
• 1+ years experience in enterprise software sales, marketing, or related field.
• Strong communication skills and tech fluency.
• Ability to flourish with minimal guidance, be proactive, and handle uncertainty.
• Understands technology and has a fascination for AI/ML product/services

Benefits

• Competitive Salary 💸
• Work Remotely 🌎
• Health insurance 🏥
• Unlimited Time Off ⏰
• Support for continual learning (free books and online courses) 📚
• Reimbursement for streaming services (think Netflix) 🎥
• Reimbursement for the gym or physical activity of your choice 🏋🏽‍♀️
• Flex hours 💪
• Leveling Up Opportunities 🌱

We are looking for a digital marketing intern eager to learn the ins and outs of marketing online, from strategy to execution. Interns will work with the digital and field marketing team to learn how marketing works across spaces and assist in the day to day digital marketing activities of INKPROG applications.

Responsibilities include: 

1. Create SEO strategies, techniques and tactics to improve the website's organic reach on all major search engines.
2. Modify website architecture, content, linking and other factors to improve SEO positions for target keywords.
3. Learn and execute SEM strategies and Internet marketing methods like pay per click advertising and paid directories.
4. Monitor and mitigate website's performance with the help of analytics tools and digital measurement methods.
5. Learn and implement social media campaigns (Facebook, Twitter, Instagram, etc.) and digital campaigns using Google AdWords.
6. Work with graphics and content team for ads, creative and artwork for PPC campaigns.
7. Generate and share content daily that builds meaningful connections.
8. Setting up and optimizing company pages within each social media platform
9. Continuously improve by capturing and analyzing the appropriate social data/ metrics, insights and best practices, and then acting on the information.
10. Analyze Past Content to Improve Posts
11. Optimize Visual Content
12. Target Website Visitors with Social Ads
13. Create a Social Media Channel Plan