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Customer Acquisition Jobs in Chennai

2+ Customer Acquisition Jobs in Chennai | Customer Acquisition Job openings in Chennai

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Fieldproxy

at Fieldproxy

2 recruiters
Swaroop Vijayakumar
Posted by Swaroop Vijayakumar
Chennai
1 - 3 yrs
₹4L - ₹6L / yr
Customer Relationship Management (CRM)
Customer Success
Customer Acquisition

Fieldproxy is looking for a passionate Customer Success specialist. We are on a pace to grow 3x in size this year with our customer success team. This is an exciting opportunity for someone who is looking to uplift their Customer Success career in a rapidly growing SaaS start-up.

 

Key responsibilities:

 

  • Establishing customer engagement activities like onboarding and product implementation constantly while meeting the business metrics
  • Increase product adoption and customer retention rate

 

What we look for:

 

  • 2+ years of experience, preferably in a SaaS organization with at least 6+ months of domain expertise in Customer Success
  • Excellent presentation skills and writing skills
  • Ability to make a quick decision in a lean team
  • Strong communication skill is not expected as it is kept as a default checklist
  • Experience with a SaaS product would be preferred
  • Work exceptionally with the cross-functional teams(product, sales, pre-sales, marketing, developers, etc.)
  • Proactive in establishing deeper customer relationships
  • Minimize the churn rate and maximize the revenue by constantly creating opportunities for upselling
  • Familiar with the CRM tools preferred

 

What we provide in return:

 

  • Competitive salary
  • Opportunity to work in a fast-moving, high growth SaaS company
  • Company-paid Health insurance
  • A great learning experience with high paced growth opportunities
  • Hybrid and friendly work culture with always ready to help attitude colleagues
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Kaleidofin

at Kaleidofin

3 recruiters
Poornima B
Posted by Poornima B
Chennai, Bengaluru (Bangalore)
2 - 4 yrs
Best in industry
skill iconMachine Learning (ML)
skill iconPython
SQL
Customer Acquisition
Big Data
+2 more
Responsibility
  • Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
  • Good understanding of the underlying business and workings of cross functional teams for successful execution
  • Design and develop analyses based on business requirement needs and challenges.
  • Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
  • Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
  • Identify and use appropriate investigative and analytical technologies to interpret and verify results.
  • Apply and learn a wide variety of tools and languages to achieve results
  • Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.

Requirements
  • 2 - 4 years  of relevant experience in Data science.
  • Preferred education: Bachelor's degree in a technical field or equivalent experience.
  • Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
  • Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
  • Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
  • Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
  • Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
  • Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
  • Experience in risk and credit score domains preferred.
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