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SOFA Statistics Jobs in Chennai

11+ SOFA Statistics Jobs in Chennai | SOFA Statistics Job openings in Chennai

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LatentView Analytics

at LatentView Analytics

3 recruiters
Kannikanti madhuri
Posted by Kannikanti madhuri
Chennai
3 - 5 yrs
₹0L / yr
SAS
SQL server
skill iconPython
SOFA Statistics
Analytics
+11 more
Looking for Immediate JoinersAt LatentView, we would expect you to:- Independently handle delivery of analytics assignments- Mentor a team of 3 - 10 people and deliver to exceed client expectations- Co-ordinate with onsite LatentView consultants to ensure high quality, on-time delivery- Take responsibility for technical skill-building within the organization (training, process definition, research of new tools and techniques etc.)You'll be a valuable addition to our team if you have:- 3 - 5 years of hands-on experience in delivering analytics solutions- Great analytical skills, detail-oriented approach- Strong experience in R, SAS, Python, SQL, SPSS, Statistica, MATLAB or such analytic tools would be preferable- Working knowledge in MS Excel, Power Point and data visualization tools like Tableau, etc- Ability to adapt and thrive in the fast-paced environment that young companies operate in- A background in Statistics / Econometrics / Applied Math / Operations Research / MBA, or alternatively an engineering degree from a premier institution.
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Fintech lead,

Fintech lead,

Agency job
via The Hub by Sridevi Viswanathan
Chennai
4 - 7 yrs
₹15L - ₹35L / yr
BERT
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
skill iconData Science
skill iconPython
  • A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

 

  • Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.
  • Mentor and coach other team members
  • Evaluate the performance of NLP models and ideate on how they can be improved
  • Support internal and external NLP-facing APIs
  • Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

 

  • Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioral Skills

 

Strong analytical and problem-solving capabilities.

  • Proven ability to multi-task and deliver results within tight time frames
  • Must have strong verbal and written communication skills
  • Strong listening skills and eagerness to learn
  • Strong attention to detail and the ability to work efficiently in a team as well as individually

Technical Skills

 

Hands-on experience with

 

  • NLP
  • Deep Learning
  • Machine Learning
  • Python
  • Bert

Preferred Requirements

  • Experience in Computer Vision is preferred
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one-to-one, one-to-many, and many-to-many

one-to-one, one-to-many, and many-to-many

Agency job
via The Hub by Sridevi Viswanathan
Chennai
5 - 9 yrs
₹1L - ₹15L / yr
PowerBI
skill iconPython
Spark
skill iconData Analytics
data brick

Position Overview: We are seeking a talented Data Engineer with expertise in Power BI to join our team. The ideal candidate will be responsible for designing and implementing data pipelines, as well as developing insightful visualizations and reports using Power BI. Additionally, the candidate should have strong skills in Python, data analytics, PySpark, and Databricks. This role requires a blend of technical expertise, analytical thinking, and effective communication skills.

Key Responsibilities:

  1. Design, develop, and maintain data pipelines and architectures using PySpark and Databricks.
  2. Implement ETL processes to extract, transform, and load data from various sources into data warehouses or data lakes.
  3. Collaborate with data analysts and business stakeholders to understand data requirements and translate them into actionable insights.
  4. Develop interactive dashboards, reports, and visualizations using Power BI to communicate key metrics and trends.
  5. Optimize and tune data pipelines for performance, scalability, and reliability.
  6. Monitor and troubleshoot data infrastructure to ensure data quality, integrity, and availability.
  7. Implement security measures and best practices to protect sensitive data.
  8. Stay updated with emerging technologies and best practices in data engineering and data visualization.
  9. Document processes, workflows, and configurations to maintain a comprehensive knowledge base.

Requirements:

  1. Bachelor’s degree in Computer Science, Engineering, or related field. (Master’s degree preferred)
  2. Proven experience as a Data Engineer with expertise in Power BI, Python, PySpark, and Databricks.
  3. Strong proficiency in Power BI, including data modeling, DAX calculations, and creating interactive reports and dashboards.
  4. Solid understanding of data analytics concepts and techniques.
  5. Experience working with Big Data technologies such as Hadoop, Spark, or Kafka.
  6. Proficiency in programming languages such as Python and SQL.
  7. Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.
  8. Excellent analytical and problem-solving skills with attention to detail.
  9. Strong communication and collaboration skills to work effectively with cross-functional teams.
  10. Ability to work independently and manage multiple tasks simultaneously in a fast-paced environment.

Preferred Qualifications:

  • Advanced degree in Computer Science, Engineering, or related field.
  • Certifications in Power BI or related technologies.
  • Experience with data visualization tools other than Power BI (e.g., Tableau, QlikView).
  • Knowledge of machine learning concepts and frameworks.


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Ganit Business Solutions

at Ganit Business Solutions

3 recruiters
Viswanath Subramanian
Posted by Viswanath Subramanian
Remote, Chennai, Bengaluru (Bangalore), Mumbai
3 - 7 yrs
₹12L - ₹25L / yr
skill iconMachine Learning (ML)
skill iconData Science
Natural Language Processing (NLP)
Computer Vision
skill iconR Programming
+5 more

Ganit has flipped the data science value chain as we do not start with a technique but for us, consumption comes first. With this philosophy, we have successfully scaled from being a small start-up to a 200 resource company with clients in the US, Singapore, Africa, UAE, and India. 

We are looking for experienced data enthusiasts who can make the data talk to them. 

 

You will: 

  • Understand business problems and translate business requirements into technical requirements. 
  • Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it. 
  • Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization. 
  • Gather requirements and communicate findings in the form of a meaningful story with the stakeholders  
  • Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery adoption. 
  • Lead and mentor data analysts. 

 

We are looking for someone who has: 

 

  • Apart from your love for data and ability to code even while sleeping you would need the following. 
  • Minimum of 02 years of experience in designing and delivery of data science solutions. 
  • You should have successful projects of retail/BFSI/FMCG/Manufacturing/QSR in your kitty to show-off. 
  • Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand. 
  • Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc. 
  • Bachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics 

Skillset Required:

  • Regression
  • Classification
  • Predictive Modelling
  • Prescriptive Modelling
  • Python
  • R
  • Descriptive Modelling
  • Time Series
  • Clustering
  •  

What is in it for you: 

 

  • Be a part of building the biggest brand in Data science. 
  • An opportunity to be a part of a young and energetic team with a strong pedigree. 
  • Work on awesome projects across industries and learn from the best in the industry, while growing at a hyper rate. 

 

Please Note:  

 

At Ganit, we are looking for people who love problem solving. You are encouraged to apply even if your experience does not precisely match the job description above. Your passion and skills will stand out and set you apart—especially if your career has taken some extraordinary twists and turns over the years. We welcome diverse perspectives, people who think rigorously and are not afraid to challenge assumptions in a problem. Join us and punch above your weight! 

Ganit is an equal opportunity employer and is committed to providing a work environment that is free from harassment and discrimination. 

All recruitment, selection procedures and decisions will reflect Ganit’s commitment to providing equal opportunity. All potential candidates will be assessed according to their skills, knowledge, qualifications, and capabilities. No regard will be given to factors such as age, gender, marital status, race, religion, physical impairment, or political opinions. 

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Aureus Tech Systems

at Aureus Tech Systems

3 recruiters
Naveen Yelleti
Posted by Naveen Yelleti
Kolkata, Hyderabad, Chennai, Bengaluru (Bangalore), Bhubaneswar, Visakhapatnam, Vijayawada, Trichur, Thiruvananthapuram, Mysore, Delhi, Noida, Gurugram, Nagpur
1 - 7 yrs
₹4L - ₹15L / yr
PySpark
Data engineering
Big Data
Hadoop
Spark
+2 more

Skills and requirements

  • Experience analyzing complex and varied data in a commercial or academic setting.
  • Desire to solve new and complex problems every day.
  • Excellent ability to communicate scientific results to both technical and non-technical team members.


Desirable

  • A degree in a numerically focused discipline such as, Maths, Physics, Chemistry, Engineering or Biological Sciences..
  • Hands on experience on Python, Pyspark, SQL
  • Hands on experience on building End to End Data Pipelines.
  • Hands on Experience on Azure Data Factory, Azure Data Bricks, Data Lake - added advantage
  • Hands on Experience in building data pipelines.
  • Experience with Bigdata Tools, Hadoop, Hive, Sqoop, Spark, SparkSQL
  • Experience with SQL or NoSQL databases for the purposes of data retrieval and management.
  • Experience in data warehousing and business intelligence tools, techniques and technology, as well as experience in diving deep on data analysis or technical issues to come up with effective solutions.
  • BS degree in math, statistics, computer science or equivalent technical field.
  • Experience in data mining structured and unstructured data (SQL, ETL, data warehouse, Machine Learning etc.) in a business environment with large-scale, complex data sets.
  • Proven ability to look at solutions in unconventional ways. Sees opportunities to innovate and can lead the way.
  • Willing to learn and work on Data Science, ML, AI.
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Crayon Data

at Crayon Data

2 recruiters
Varnisha Sethupathi
Posted by Varnisha Sethupathi
Chennai
5 - 8 yrs
₹15L - ₹25L / yr
SQL
skill iconPython
Analytical Skills
Data modeling
Data Visualization
+1 more

Role : Senior Customer Scientist 

Experience : 6-8 Years 

Location : Chennai (Hybrid) 
 
 

Who are we? 
 
 

A young, fast-growing AI and big data company, with an ambitious vision to simplify the world’s choices. Our clients are top-tier enterprises in the banking, e-commerce and travel spaces. They use our core AI-based choice engine http://maya.ai/">maya.ai, to deliver personal digital experiences centered around taste. The http://maya.ai/">maya.ai platform now touches over 125M customers globally. You’ll find Crayon Boxes in Chennai and Singapore. But you’ll find Crayons in every corner of the world. Especially where our client projects are – UAE, India, SE Asia and pretty soon the US. 
 
 

Life in the Crayon Box is a little chaotic, largely dynamic and keeps us on our toes! Crayons are a diverse and passionate bunch. Challenges excite us. Our mission drives us. And good food, caffeine (for the most part) and youthful energy fuel us. Over the last year alone, Crayon has seen a growth rate of 3x, and we believe this is just the start. 
 

 
We’re looking for young and young-at-heart professionals with a relentless drive to help Crayon double its growth. Leaders, doers, innovators, dreamers, implementers and eccentric visionaries, we have a place for you all. 
 

 
 

Can you say “Yes, I have!” to the below? 
 
 

  1. Experience with exploratory analysis, statistical analysis, and model development 
     
  1. Knowledge of advanced analytics techniques, including Predictive Modelling (Logistic regression), segmentation, forecasting, data mining, and optimizations 
     
  1. Knowledge of software packages such as SAS, R, Rapidminer for analytical modelling and data management. 
     
  1. Strong experience in SQL/ Python/R working efficiently at scale with large data sets 
     
  1. Experience in using Business Intelligence tools such as PowerBI, Tableau, Metabase for business applications 
     

 
 

 

Can you say “Yes, I will!” to the below? 
 
 

  1. Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modelling, coding, analytics) to drive business insight and facilitate decisions. 
     
  1. Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimisation, and work with engineering to deploy those algorithms and create impact in production. 
     
  1. Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess the relative impact and extract trends 
     
  1. Coordinate individual teams to fulfil client requirements and manage deliverable 
     
  1. Communicate and present complex concepts to business audiences 
     
  1. Travel to client locations when necessary  

 

 

Crayon is an equal opportunity employer. Employment is based on a person's merit and qualifications and professional competences. Crayon does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, marital status, pregnancy or related.  
 
 

More about Crayon: https://www.crayondata.com/">https://www.crayondata.com/  
 

More about http://maya.ai/">maya.ai: https://maya.ai/">https://maya.ai/  

 

 

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TVS Credit Services

at TVS Credit Services

2 recruiters
Vinodhkumar Panneerselvam
Posted by Vinodhkumar Panneerselvam
Chennai
4 - 10 yrs
₹10L - ₹20L / yr
skill iconData Science
skill iconR Programming
skill iconPython
skill iconMachine Learning (ML)
Hadoop
+3 more
Job Description: Be responsible for scaling our analytics capability across all internal disciplines and guide our strategic direction in regards to analytics Organize and analyze large, diverse data sets across multiple platforms Identify key insights and leverage them to inform and influence product strategy Technical Interactions with vendor or partners in technical capacity for scope/ approach & deliverables. Develops proof of concept to prove or disprove validity of concept. Working with all parts of the business to identify analytical requirements and formalize an approach for reliable, relevant, accurate, efficientreporting on those requirements Designing and implementing advanced statistical testing for customized problem solving Deliver concise verbal and written explanations of analyses to senior management that elevate findings into strategic recommendations Desired Candidate Profile: MTech / BE / BTech / MSc in CS or Stats or Maths, Operation Research, Statistics, Econometrics or in any quantitative field Experience in using Python, R, SAS Experience in working with large data sets and big data systems (SQL, Hadoop, Hive, etc.) Keen aptitude for large-scale data analysis with a passion for identifying key insights from data Expert working knowledge in various machine learning algorithms such XGBoost, SVM Etc. We are looking candidates from the following: Experience in Unsecured Loans & SME Loans analytics (cards, installment loans) - risk based pricing analytics Experience in Differential pricing / selection analytics (retail, airlines / travel etc). Experience in Digital product companies or Digital eCommerce with Product mindset and experience Experience in Fraud / Risk from Banks, NBFC / Fintech / Credit Bureau Experience in Online media with knowledge of media, online ads & sales (agencies) - Knowledge of DMP, DFP, Adobe/Omniture tools, Cloud Experience in Consumer Durable Loans lending companies (Experience in Credit Cards, Personal Loan - optional) Experience in Tractor Loans lending companies (Experience in Farm) Experience in Recovery, Collections analytics Experience in Marketing Analytics with Digital Marketing, Market Mix modelling, Advertising Technology
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E commerce & Retail

E commerce & Retail

Agency job
via Myna Solutions by Venkat B
Chennai
5 - 10 yrs
₹8L - ₹18L / yr
skill iconMachine Learning (ML)
skill iconData Science
skill iconPython
Tableau
SQL
+3 more
Job Title : DataScience Engineer
Work Location : Chennai
Experience Level : 5+yrs
Package : Upto 18 LPA
Notice Period : Immediate Joiners
It's a full-time opportunity with our client.

Mandatory Skills:Machine Learning,Python,Tableau & SQL

Job Requirements:

--2+ years of industry experience in predictive modeling, data science, and Analysis.

--Experience with ML models including but not limited to Regression, Random Forests, XGBoost.

--Experience in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models.

--Experience writing code in Python and SQL with documentation for reproducibility.

--Strong Proficiency in Tableau.

--Experience handling big datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL.

--Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations.

--AWS Sagemaker experience is a plus not required.
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VIMANA

at VIMANA

4 recruiters
Loshy Chandran
Posted by Loshy Chandran
Remote, Chennai
2 - 5 yrs
₹10L - ₹20L / yr
Data engineering
Data Engineer
Apache Kafka
Big Data
skill iconJava
+4 more

We are looking for passionate, talented and super-smart engineers to join our product development team. If you are someone who innovates, loves solving hard problems, and enjoys end-to-end product development, then this job is for you! You will be working with some of the best developers in the industry in a self-organising, agile environment where talent is valued over job title or years of experience.

 

Responsibilities:

  • You will be involved in end-to-end development of VIMANA technology, adhering to our development practices and expected quality standards.
  • You will be part of a highly collaborative Agile team which passionately follows SAFe Agile practices, including pair-programming, PR reviews, TDD, and Continuous Integration/Delivery (CI/CD).
  • You will be working with cutting-edge technologies and tools for stream processing using Java, NodeJS and Python, using frameworks like Spring, RxJS etc.
  • You will be leveraging big data technologies like Kafka, Elasticsearch and Spark, processing more than 10 Billion events per day to build a maintainable system at scale.
  • You will be building Domain Driven APIs as part of a micro-service architecture.
  • You will be part of a DevOps culture where you will get to work with production systems, including operations, deployment, and maintenance.
  • You will have an opportunity to continuously grow and build your capabilities, learning new technologies, languages, and platforms.

 

Requirements:

  • Undergraduate degree in Computer Science or a related field, or equivalent practical experience.
  • 2 to 5 years of product development experience.
  • Experience building applications using Java, NodeJS, or Python.
  • Deep knowledge in Object-Oriented Design Principles, Data Structures, Dependency Management, and Algorithms.
  • Working knowledge of message queuing, stream processing, and highly scalable Big Data technologies.
  • Experience in working with Agile software methodologies (XP, Scrum, Kanban), TDD and Continuous Integration (CI/CD).
  • Experience using no-SQL databases like MongoDB or Elasticsearch.
  • Prior experience with container orchestrators like Kubernetes is a plus.
About VIMANA

We build products and platforms for the Industrial Internet of Things. Our technology is being used around the world in mission-critical applications - from improving the performance of manufacturing plants, to making electric vehicles safer and more efficient, to making industrial equipment smarter.

Please visit https://govimana.com/ to learn more about what we do.

Why Explore a Career at VIMANA
  • We recognize that our dedicated team members make us successful and we offer competitive salaries.
  • We are a workplace that values work-life balance, provides flexible working hours, and full time remote work options.
  • You will be part of a team that is highly motivated to learn and work on cutting edge technologies, tools, and development practices.
  • Bon Appetit! Enjoy catered breakfasts, lunches and free snacks!

VIMANA Interview Process
We usually target to complete all the interviews in a week's time and would provide prompt feedback to the candidate. As of now, all the interviews are conducted online due to covid situation.

1.Telephonic screening (30 Min )

A 30 minute telephonic interview to understand and evaluate the candidate's fit with the job role and the company.
Clarify any queries regarding the job/company.
Give an overview about further interview rounds

2. Technical Rounds

This would be deep technical round to evaluate the candidate's technical capability pertaining to the job role.

3. HR Round

Candidate's team and cultural fit will be evaluated during this round

We would proceed with releasing the offer if the candidate clears all the above rounds.

Note: In certain cases, we might schedule additional rounds if needed before releasing the offer.
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LatentView Analytics

at LatentView Analytics

3 recruiters
Kannikanti madhuri
Posted by Kannikanti madhuri
Chennai
5 - 8 yrs
₹5L - ₹8L / yr
skill iconData Science
Analytics
skill iconData Analytics
Data modeling
Data mining
+7 more
Job Overview :We are looking for an experienced Data Science professional to join our Product team and lead the data analytics team and manage the processes and people responsible for accurate data collection, processing, modelling and analysis. The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our clients. The incumbent will work closely with leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions. They will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. They will use advanced data modelling, predictive modelling, natural language processing and analytical techniques to interpret key findings.Responsibilities for Analytics Manager :- Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.- Design and build technical processes to address business issues.- Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.- Examine, interpret and report results to stakeholders in leadership, technology, sales, marketing and product teams.- Develop and implement quality controls and standards to ensure quality standards- Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.- Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.- Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.Qualifications for Analytics Manager :- Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple cloud-based data sources- Strong SQL skills, ability to perform effective querying- Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.- Experience and knowledge of statistical modelling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.- Experience working with and creating databases and dashboards using all relevant data to inform decisions.- Strong problem solving, quantitative and analytical abilities.- Strong ability to plan and manage numerous processes, people and projects simultaneously.- Excellent communication, collaboration and delegation skills.- We- re looking for someone with at least 5 years of experience in a position monitoring, managing and drawing insights from data, and someone with at least 3 years of experience leading a team. The right candidate will also be proficient and experienced with the following tools/programs :- Strong programming skills with querying languages: R, Python etc.- Experience with big data tools like Hadoop- Experience with data visualization tools: Tableau, d3.js, etc.- Experience with Excel, Word, and PowerPoint.
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Chennai
7 - 19 yrs
₹10L - ₹26L / yr
Analytics
Statistical Modeling
Marketing Strategy
Job description Role: Industry Domain Lead – Retail/ CPG/ Insurance /Banking/ Automotive Designation: Manager/ Senior Manager Career Track: Expert Location: Chennai Role Description/ Responsibilities: The Industry Domain Lead will be responsible for formulating and executing the supply side/ capability build strategy for their industry. He/ she will also be responsible for driving delivery excellence in all engagements in that industry by providing expert support on generating insights and generating a compelling case for action to deliver business impact. The Industry Lead will also support the development and execution of appropriate demand side/ go-to-market strategy for driving revenue growth and penetration into existing/ new accounts. • Develop a well thought out POV on the full spectrum of problems/ opportunities in that industry and analytics solutions/ approaches that are relevant to solving them. Articulate the POV in the form of “Industry Analytics on a Page” constructs that help explain it to stakeholders covering key business challenges, metrics, levers, analytics approaches, methodologies, frameworks, tools/ assets/ solutions and impact. • Understand work done till date in the industry and collate material relevant to developing the POV in the form of case studies and collateral. • Review approaches/ methodologies/ frameworks used across engagements and develop a reference guide that can be used to standardise and drive excellence. • Evaluate tools/ assets/ solutions developed across engagements till date and recommend usage/ updates/ redesign as appropriate. • Drive delivery excellence in all engagements in the industry by active participation/ providing expert support for solving complex business problems. • Develop issue/ hypothesis trees and other relevant problem-solving approaches for addressing the business challenges. • Review and provide critical comments to delivery teams on industry factors that need to be taken into consideration for raising the bar on dashboarding, modelling, solving fuzzy problems and generating insights. • Develop relevant sales/ marketing collateral for supporting the go-to-market strategy for the industry • Track revenue and penetration into existing/ new accounts and formulate supply side approaches to drive growth around recruitment, skill building, certification, refreshes to frameworks, methodologies, tools, assets and solutions • Drive/ support proposal/ RFP response development for opportunities in the industry; support NBD and Account Management teams in sales pursuits in existing accounts • Drive/ support LatentView marketing/ sales events such as roundtables and workshops. Represent LatentView in external events/ conferences to share/ represent our POV on the industry. • Drive LatentView's consulting capability in the industry and anchor / participate actively in consulting engagements. Skill/ Experience Requirements: • Deep knowledge of the business strategy/ analytical models and approaches/ value propositions adopted by leading organizations in the industry. • Excellent understanding of the business drivers/ levers, processes in the industry and how organizations can use analytics for driving business impact. • Sound knowledge of the analytics landscape and maturity spectrum within the industry. Familiarity with the problem solving analytical techniques (math) and modelling/ visualization tools (technology) relevant to the industry. • Conviction and ability to articulate the business impact of moving up the analytics maturity curve to internal audience as well as target clients/ stakeholders. • 8+ years of analytics experience in the industry in a direct or consulting capacity helping organizations adopt a data/ analytics-based decision-making framework. • Exceptional problem solving, analytical, communication and inter personal skills.
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