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Roles and responsibilities

1. Onsite account manager/project manager with research background, preferably in procurement
   to be based at Chicago
2. Manage and execute business research projects in the area of strategy; procurement and/or marketing for various clients, including large corporations and professional service firms
3. Deliver high-quality, client-ready output consistently; identify risks/issues
4. Function as a ‘client lead’, assuming ownership of assigned client accounts – be the main point of contact for client, prioritize work flow, negotiate project timelines/scope, collect feedback and address any issues promptly
5. Understand research objectives based on client type and accordingly design/define work approach, project scope and timelines
6. Responsible for the quality of the work being done in the team; review work thoroughly to ensure
   consistently high-quality output, value addition and adherence to timelines; be able to judge required level of own involvement on projects, execute parts of projects if situation demands
7. Interact with clients during the course of the project and post project delivery through emails and conference calls

Ideal Candidate

1. 4 to 10 years of experience in business research; extensive experience in utilizing those skills in research environment
2. Only for H1B Visa holder candidate
3. Experience of direct interaction with clients, both through emails and conference calls
4. Experience of working in teams
5. Creative outlook and ability to think of multiple approaches to address a problem
6. Analytical bend of mind, to seek the why, how and so-what of a problem statement
7. Motivated, quick thinker, dynamic person with strong business acumen
8. Demonstrate perseverance and ‘can do’ attitude
9. Go-getter with quick grasping ability
10. Proactive and ready to take initiative
11. Potential of handling a large team as a single point of contact for their daily operational needs, as well as overall needs related to career aspiration, performance, expectations, team building, etc.
12. Ability to act in the capacity of technical advisor to all the projects under his/her team and advise them without
    necessarily researching on the topics
13. Result oriented, self-driven, solution seeker
14. Excellent communication skills, both written and verbal
15. Ability to do multitasking with ease
16. Ability to take tough decisions with reasoning and logic

Roles and responsibilities

1. Act as a lead analyst on various data analytics projects aiding strategic decision making for Fortune 500 / FTSE 100 companies, Blue Chip Consulting Firms and Global Financial Services companies
2. Understand the client objectives, and work with the PL to design the analytical solution/framework. Be able to translate the client objectives / analytical plan into clear deliverables with associated priorities and constraints
3. Collect/Organise/Prepare/Manage data for the analysis and conduct quality checks
4. Use and implement basic and advanced statistical techniques like frequencies, cross-tabs, correlation, Regression, Decision Trees, Cluster Analysis, etc. to identify key actionable insights from the data
5. Develop complete sections of final client report in Power Point. Identify trends and evaluate insights in terms of logic and reasoning, and be able to succinctly present them in terms of an executive summary/taglines
6. Conduct sanity checks of the analysis output based on reasoning and common sense, and be able to do a rigorous self QC, as well as of the work assigned to analysts to ensure an error free output
7. Aid in decision making related to client management, and also be able to take client calls relatively independently
8. Support the project leads in managing small teams of 2-3 analysts, independently set targets and communicate to team members
9. Discuss queries/certain sections of deliverable report over client calls or video conferences

Technical Skills: 

1. Hands on experience of one or more statistical tools, such as SAS, R and Python
2. Working knowledge or experience in using SQL Server (or other RDBMS tools) would be an advantage

Other Skills:

1. Superior problem-solving abilities and strong analytical thinking
2. Desire to work in a fast-paced, challenging environment where you need to push yourself all the time
3. Excellent communication skills, both written and verbal

Ideal Candidate:

1. 2–4 years of relevant experience in Marketing Analytics/MR.
2. Experience in managing, cleaning and analysis of large data sets using statistical packages, such as SAS, R, and Python
3. Experience in data management using SQL queries on tools, including Access and SQL Server
4. Experience of handling small teams of 2–3 analysts
5. Experience in handling client calls and client management

Knowledge:

1. Knowledge of basic statistical tools and techniques such as cross-tabulations, correlation, regression, and segmentation
2. Knowledge of working across multiple data platforms and files such as flat files, RDBMS and Excel datasheets

Skills:

1. Excellent communication skills (both written and oral)
2. Project management
3. MS Excel, SAS, SPSS, R and Python
4. SQL Server, MS Access, Oracle, VB/VBA, Excel Macro Programming

Education:

1. Engineers from top tier institutes (IITs, DCE/NSIT, NITs) or Post Graduates in Maths/Statistics/OR from top Tier Colleges/Universities
2. MBA from top tier B-schools

Roles and responsibilities

Specifically, Senior Analyst – Data Visualisation should have experience in:

Solution Designing

1. Understand the business needs of the client and accordingly design the most effective visualisation solution using technologies suitable to the end users (e.g., web, mobile, app and print)
2. Make information easy to understand by designing and producing meaningful and effective data visualisations, using relational and aggregate data sources
3. Create interactive visualisations to allow users to ask and answer questions using Tableau (expert level) and Power BI

Project and Client Management

1. Working on multiple projects of varying complexities, and ensure the best quality under the given timelines with minimal support
2. Conduct sanity checks based on reasoning and experience to ensure that deliverables are client ready
3. Be a part of deliverable discussions with clients over telephonic calls and engage with them as a thought partner for their BI challenges

Most Important Requirements

1. Superior problem solving abilities and strong analytical thinking
2. Desire to work in a fast paced, challenging environment where you need to push yourself all the time
3. Excellent communication skills – both written and verbal
4. Solution orientated and self-driven

Ideal Candidate

1. 2–5 years of relevant experience of hands-on experience on various BI tools and technologies
2. Experience in creating complex dashboards – both static, interactive and real-time visualisations – that allow drill down ability and help the client take actions based on the insights provided
3. Expert-level knowledge of data visualisation and data mining using off-the-shelf BI tools – Tableau (expert level) and Power BI
4. Excel, SQL and other databases to manipulate and create back-end data
5. Experience in handling client calls and client management independently
6. Experience of managing projects independently, along with handling project teams
7. Exposure to data mining and predictive analytics will be an added advantage
8. Automation and reporting/dashboard concepts

Other Skills (added advantage)

1. Knowledge of other visualisation tools like Qlikview, Spotfire, D3, Domo, ggplot, Shiny apps is added advantage
2. Development of interactive dashboards or other visualisation such as, HTML5, CSS and D3, JavaScript and JavaScript libraries – including extJS, jQuery, AngularJS, Ggplot and Shiny apps
3. Exposure to cloud-based environment to develop and deploy various dashboards and visualisations
4. Knowledge of big data architecture concepts (HDFS, Map reduce, etc.)

Education

1. Engineers/MBAs from top-tier universities

Roles and responsibilities

1. The Data Scientist is expected to have deep knowledge and skills in Machine Learning/Statistical Modelling/Big Data domain, and be responsible for the solution designing and project management for multiple projects/accounts
2. Design the solution for advanced analytics (including Big Data) projects – what technique to use, what tool/technology to use, etc.
3. Scope out the solution in terms of time, effort, team skills needed independently
4. Own the delivery for projects, including developing scalable ML models and algorithms, and interpreting the output
5. Discuss various opportunities with existing and potential clients at a technical level
6. Lead the effort on developing new capabilities/offerings/solutions across the firm

Ideal Candidate

1. Relevant experience of 6–8 years in advanced machine learning, advanced analytical modelling and optimisation across multiple industries
2. Expert level working knowledge of Python full stack (back-end, analysis layer, implementation)
3. Proficient in the analysis of both structured, unstructured data (text, image, video), and streaming (sensor) data;
4. Working knowledge of deep learning, experience of having executed very large neural network-based solutions
5. Atleast 2+ years of Big Data experience including managing a Spark/HDFS based project
6. Business domain and solutions knowledge of multiple industries, especially Retail, CPG and Telecom
7. Good knowledge of various data visualisation tools, especially open source such as D3 and Gephi
8. Excellent communication and client engagement skills
9. Team management experience is a plus
10. Master’s Degree in Computer Science/Mathematical Computing/Statistics/Operations Research
11. At least  5  years of experience in Machine learning, Python and Big Data

Roles and responsibilities

1. Be a part of the team working on various data analytics projects aiding strategic decision making for Fortune 500/FTSE 100 companies, Blue Chip Consulting Firms and Global Financial Services companies
2. Understand the client objectives, and work with the PL to understand, and/or aid the designing of the analytical solution/framework
3. Good command on tools such as SPSS, Excel (must haves), VBA/Tableau (desired), SAS, R, Python (would be a plus) to manipulate and prepare data and conduct various analysis as needed
4. Be able to independently implement basic and intermediate statistical techniques such as frequencies, cross-tabs, correlation, Regression, Decision Trees, Cluster Analysis, etc. to identify key actionable insights from the data
5. Conduct sanity checks of the analysis output based on reasoning and common sense, and be able to do a rigorous QC
6. Develop complete sections of final client report in Power Point. Identify trends and evaluate insights in terms of logic and reasoning, and be able to succinctly present them in terms of an executive summary/taglines
7. Discuss queries/certain sections of deliverable report over client calls or video conferences

Ideal Candidate

1. Minimum relevant experience 2–4 years
2. Superior problem solving abilities and strong analytical thinking
3. Experience in conducing primary quantitative and primary qualitative projects, survey analytics in general
4. Type of projects in which experience is desired are: Purchase Process Studies, Brand Awareness and Purchase, Customer and Market Segmentation, Forecasting, Survey Analytics, Conjoint (Choice Based Conjoint, Max-Diff, etc.), Price Sensitivity Measurement, NPS, Customer Feedback Assessment, Customer Satisfaction Studies, Brand Tracking Studies, Longitudinal Studies, etc.
5. Experience on survey sample calculations, weighting mechanism, etc.
6. Experience in fielding vendor management and strong data cleaning principles (during fielding and analysis)
7. Experience in either managing or coding surveys on various platforms – ConfirmIT, Sawtooth, Qualtrics, etc.
8. Should have good client exposure
9. Desire to work in a fast paced, challenging environment where you need to push yourself all the time
10. Excellent communication skills, both written and verbal
11. Mature individual with a professional work ethic, and high degree of ownership and accountability

Roles and responsibilities

Specifically, Assistant Managers should:

1. Understand client objectives, and work with the Project Lead (PL) to design the analytical solution/framework. Be able to translate client objectives/analytical plan into clear deliverables with associated priorities and constraints
2. Organise/Prepare/Manage data and conduct quality checks to ensure that the analysis dataset is ready
3. Explore and implement various statistical and analytical techniques (including machine learning) like linear/non-linear Regression, Decision Trees, Segmentation, time series forecasting, as well as machine learning algorithms – such as Random Forest, SVM and ANN.
4. Conduct sanity checks of the analysis output based on reasoning and common sense, and be able to do a rigorous self QC, as well as of the work assigned to junior analysts to ensure an error-free output
5. Interpret the output in context of the client’s business and industry to identify trends and actionable insights
6. Be able to succinctly visualise the findings through a PPT, a BI dashboard (Tableau, Qlikview, etc.) and highlight the key takeaways from a business perspective
7. Be able to take client calls relatively independently, and interact with onsite leads (if applicable) on a daily basis
8. Discuss queries/certain sections of deliverable report over client calls or video conferences

Client Management

1. Act as client lead and maintain client relationship; make independent key decisions related to client management
2. Be a part of deliverable discussions with clients over telephonic calls, and guide the project team on the next steps and way forward

Most Important Requirements:

1. Superior problem solving abilities and strong analytical thinking
2. Desire to work in a fast paced, challenging environment where you need to push yourself all the time
3. Excellent communication skills, both written and verbal
4. Solution orientation and self-driven

Ideal Candidate

1. 4–6 years of relevant advanced analytics experience in Marketing, CRM, Pricing in either Retail, or CPG industries. Other B2C domains can be considered
2. Experience in managing, cleaning and analysing large datasets using tools such as Python, R and SAS
3. Experience in using multiple advanced analytics techniques or machine learning algorithms
4. Experience in handling client calls and working independently with clients
5. Understanding of consumer businesses such as Retail, CPG and Telecom
6. Knowledge of working across multiple data types and files including flat files and RDBMS files; multiple data platforms (SQL Server, Teradata, Hadoop, Spark); on premise or on the cloud
7. Knowledge of advanced statistical techniques such as Decision trees, different types of regressions, clustering, Forecasting (ARIMA/X) and ML

Other Skills

1. Excellent communication skills (both written and oral)
2. Ability to create client ready deliverables in Excel and PowerPoint
3. Optimisation techniques (linear, non-linear), and knowledge of supply chain
4. VBA, Excel Macro programming, Tableau, Qlikview

Education

1. Engineers from top tier institutes (IITs, DCE/NSIT, NITs) or Post Graduates in Maths/Statistics/OR from top Tier Colleges/Universities
2. MBA from top tier B-schools

Roles and responsibilities

1. Execute business research projects in the area of strategy, procurement and/or marketing for
   various clients – including large corporations operating in the industrials space globally
2. Contribute to the entire project lifecycle through exhaustive research, data interpretation,
   insight generation/analysis and report preparation
3. Understand research objectives based on client requirements and accordingly build a work
   approach; interpret and analyse information for accuracy, exhaustiveness and applicability
4. Conduct exhaustive secondary research on a variety of topics across sources such as company
   websites, industry reports, market studies, general news articles as well as databases, and
   other relevant sources
5. Synthesise analytical and actionable insights – through qualitative and quantitative methods –
   which provide solutions to client’s business problem, and present this information in a
   structured manner
6. Deliver high-quality, client-ready output with minimal supervision; identify risks/issues and
   escalate those to project leads in a timely manner

Ideal Candidate

1. 1 to 3.5 years of experience in business research ; extensive experience in utilizing those skills in research environment
2. Experience of direct interaction with clients, both through emails and conference calls
3. Experience of working in teams
4. Creative outlook and ability to think of multiple approaches to address a problem
5. Analytical bend of mind, to seek the why, how and so-what of a problem statement
6. Motivated, quick thinker, dynamic person with strong business acumen
7. Demonstrate perseverance and ‘can do’ attitude
8. Go getter with quick grasping ability
9. Proactive and ready to take initiative
10. Strong team player with a zeal to learn
11. Any specialisation/background in the Industrials sub-sectors, MBA: Desirable
12. Experience of supervising/managing the work of a relatively junior analyst
13. Experience in manufacturing/industrials space (added advantage)
14. Superior analytical skills to analyse and interpret both qualitative and quantitative information
15. Excellent communication skills (both written and oral)
16. Ability to maintain quality levels across studies and manage projects with minimum direction
17. Ability to write reports (headlines, summary and recommendations) with no grammatical or data interpretation errors
18. Ability to conduct open ended primary research to garner industry specific insights
19. Knowledge of analytical frameworks like Porter’s 5 forces, BCG matrix, and understanding of business dynamics of various industries and basic economics
20. Proficiency in Power Point, Excel and Word to deliver the desired output in a creative and aesthetically appealing format
21. Knowledge of one’s educational background with clear understanding of fundamentals and concepts
22. Knowledge of various databases such as Lexis, Thomson, Factiva and ProFound

Roles and responsibilities

1. Execute business research projects in the area of strategy, procurement and/or marketing for
   various clients
2. Contribute to the entire project lifecycle through exhaustive research, data interpretation,
   insight generation/analysis and report preparation
3. Understand research objectives based on client requirements and accordingly build a work
   approach; interpret and analyse information for accuracy, exhaustiveness and applicability
4. Conduct exhaustive secondary research on a variety of topics across sources such as company
   websites, industry reports, market studies, general news articles as well as databases, and
   other relevant sources
5. Synthesise analytical and actionable insights – through qualitative and quantitative methods –
   which provide solutions to client’s business problem, and present this information in a
   structured manner
6. Deliver high-quality, client-ready output with minimal supervision; identify risks/issues and
   escalate those to project leads in a timely manner

Ideal Candidate

1. 1–3.5 years of experience in business research ; extensive experience in utilizing those skills
   in research environment
2. Experience of direct interaction with clients, both through emails and conference calls
3. Experience of working in teams
4. Creative outlook and ability to think of multiple approaches to address a problem
5. Analytical bend of mind, to seek the why, how and so-what of a problem statement
6. Motivated, quick thinker, dynamic person with strong business acumen
7. Demonstrate perseverance and ‘can do’ attitude
8. Go getter with quick grasping ability
9. Proactive and ready to take initiative
10. Strong team player with a zeal to learn
11. MBA: Desirable
12. Experience of supervising/managing the work of a relatively junior analyst
13. Superior analytical skills to analyse and interpret both qualitative and quantitative information
14. Excellent communication skills (both written and oral)
15. Ability to maintain quality levels across studies and manage projects with minimum direction
16. Ability to write reports (headlines, summary and recommendations) with no grammatical or
    data interpretation errors
17. Ability to conduct open ended primary research to garner industry specific insights
18. Knowledge of analytical frameworks like Porter’s 5 forces, BCG matrix, and understanding of business dynamics of various industries and basic economics
19. Proficiency in Power Point, Excel and Word to deliver the desired output in a creative and aesthetically appealing format
20. Knowledge of one’s educational background with clear understanding of fundamentals and concepts
21. Knowledge of various databases such as Lexis, Thomson, Factiva and ProFound

Roles and responsibilities

1. Execute business research projects in the area of strategy, procurement and/or marketing for
   various clients
2. Contribute to the entire project lifecycle through exhaustive research, data interpretation,
   insight generation/analysis and report preparation
3. Understand research objectives based on client requirements and accordingly build a work
   approach; interpret and analyse information for accuracy, exhaustiveness and applicability
4. Conduct exhaustive secondary research on a variety of topics across sources such as company
   websites, industry reports, market studies, general news articles as well as databases, and
   other relevant sources
5. Synthesise analytical and actionable insights – through qualitative and quantitative methods –
   which provide solutions to client’s business problem, and present this information in a
   structured manner
6. Deliver high-quality, client-ready output with minimal supervision; identify risks/issues and
   escalate those to project leads in a timely manner

Ideal Candidate

1. 1–3.5 years of experience in business research; extensive experience in utilising those skills
   in research environment
2. Experience of direct interaction with clients, both through emails and conference calls
3. Experience of working in teams
4. Creative outlook and ability to think of multiple approaches to address a problem
5. Analytical bend of mind, to seek the why, how and so-what of a problem statement
6. Motivated, quick thinker, dynamic person with strong business acumen
7. Demonstrate perseverance and ‘can do’ attitude
8. Go getter with quick grasping ability
9. Proactive and ready to take initiative
10. Strong team player with a zeal to learn
11. MBA: Desirable
12. Experience of supervising/managing work of relatively junior analysts
13. Superior analytical skills to analyse and interpret both qualitative and quantitative information
14. Excellent communication skills (both written and oral)
15. Ability to maintain quality levels across studies and manage projects with minimum direction
16. Ability to write reports (headlines, summary and recommendations) with no grammatical or
    data interpretation errors
17. Ability to conduct open-ended primary research to garner industry specific insights
18. Knowledge of analytical frameworks such as Porter’s 5 forces and BCG matrix, and understanding of
    business dynamics of various industries and basic economics
19. Proficiency in Power Point, Excel and Word to deliver the desired output in a creative and
    aesthetically appealing format
20. Knowledge of one’s educational background with clear understanding of fundamentals and
    concepts
21. Knowledge of various databases such as Lexis, Thomson, Factiva and ProFound