We’re looking for bright individuals

who love problem solving and want to be a part of something amazing

Job Description

Use your technical skills to extract, analyse and build analytics-ready datasets that will lead to better decisions and profitability for our clients.

The ideal candidate will

  • Possess strong analytical / logical thinking and communication skills
  • Develop clear, actionable models and recommendations from “relevant” datasets
  • Advocate exploration of interesting data anomalies or patterns to enhance client engagement and value
  • Design and develop data components and processes that extract and transform data across disparate databases for reporting and analytics, ensuring integrity of data
  • Assist the development and testing of data tables
  • Ensure solutions are scalable, repeatable

Eligibility Criteria

  • Bachelors in Engineering (any discipline) or Masters in Statistics/Economics
  • 1-3 years of experience in the analytics space
  • Superior analytical and problem solving
  • Attention to detail and passion for accuracy
  • Proficiency with at least one of SAS / R / Python
  • Proficiency with data visualization tools such as Tableau, Spotfire, Qlikview
  • Experience working with statistical / econometric techniques
  • Experience working with SQL and a strong understanding of data infrastructure, data warehouse, and/or data engineering
  • Working knowledge of MS Excel and PowerPoint
  • Good verbal and written communication skills

Job Description

As a Data Scientist with Tredence, you will play a key role in translating data into insights for our clients. You will design, develop and implement processes and framework that will help our clients make sense of the data they generate, and consume the insights to make informed decisions.

The ideal candidate will

  • Design and develop solutions for insight generation and improved analytics consumption within the client organization
  • Combine advanced analytical skills with business acumen to drive key metrics and improved revenue for the client
  • Develop highly scalable advanced analytics tools using machine learning, data regression, and rule-based models
  • Work across teams to develop, refine and scale data management and analytics process and frameworks
  • Catalyse the analytical maturity of the client by suggesting, collecting and synthesizing requirements and developing self-service scalable solutions
  • Work as an extension to the analytics teams to implement algorithms that power user and developer-facing products
  • Be accountable for measuring and optimizing the quality of the algorithms
  • Adapt standard machine learning methods to best exploit modern parallel environments

Eligibility Criteria

  • BE/ B. Tech degree in Computer Science or related quantitative field with 2-4 years of relevant work experience
  • Working knowledge of scripting languages such as Perl, Python, PHP and shell scripts
  • Hands-on experience working on recommendation, targeting, and ranking systems
  • Strong background in Large scale Data Mining, Machine Learning, Artificial Intelligence, Pattern Recognition and/or Natural Language Programming
  • Background in text understanding
  • Experience working with Hadoop/Hbase/Pig or MapReduce/Bigtable/AzureML/ Scala/ Hive/ H2O would be an added advantage

Job Description

The role will involve active collaboration with clients to understand and gather business requirements, coordination with the offshore delivery teams to complete the required tasks with high quality and in a timely manner.
You will be required to leverage your technical skills and business acumen to appropriately engage with clients and provide thought leaderships in discussions with clients.

The ideal candidate will

  • Independently deliver while being deeply analytical and detail-oriented in their thought process
  • Display excellent process design and problem solving skills
  • Coordinate with business planners and decision makers to translate business questions into verifiable hypotheses and data-driven solutions
  • Advocate the exploration of interesting data anomalies or patterns that may provide further context about customer behavior or predictive value to the business
  • Ensure solutions are scalable, repeatable, efficient and effective
  • Work hands-on on various analytics problems / development tasks and provide thought leadership on problems being addressed
  • Be actively involved in business development through pre-sales/operational support
  • Provide expert recommendations to the product development team on best practices for Salesforce setup and usage
  • Maintain system metrics to track trends in usage and data integrity

Eligibility Criteria

  • 5+ years of Experience with Salesforce.com Administration (User, Roles, Profile, Workflows, Page Layouts, Validation rules, Field sharing and Security) as well as Salesforce.com development (Apex, Visualforce, Web Services, SOAP/REST API)
  • Graduate in any stream with excellent communication skill
  • Strong SFDC related technical skills
  • Experience working in SFDC lightning is a must
  • Prior client-facing experience is mandatory
  • Experience with advanced SQL; experience researching and manipulating complex and large data sets

Job Description

As an associate with Tredence you will work closely with the client to understand their business needs and identify the right solution. You will be based out of the client location and be the liaison between the client and offshore team; displaying both sales and delivery capabilities. In your role, you will frontend interactions, gather requirements and work closely with the onsite team to ensure there is no slippage between the client needs and our deliverables. You will play a pivotal role in building client relationships, keeping them honest on the progress of our deliverables on an ongoing basis.

The ideal candidate will

  • Develop clear, concise, actionable models and recommendations from mountains of data
  • Provide business context and design analytics framework, in tandem with the offshore team
  • Present results and recommendations to senior management based on insights generated
  • Ensure solutions are scalable, repeatable
  • Make analytics pervasive within the client ecosystem by showcasing the value of informed decision making
  • Be involved in the development of the company through pre-sales/operational support

Eligibility Criteria

  • Bachelors in Engineering or Masters in Statistics/Economics
  • 1 to 4 years of database experience with advanced SQL skills; experience researching and manipulating complex and large data sets (both distributed and non-distributed)
  • Possesses strong analytical/logical thinking and communication skills
  • Proficient in one or more scripting languages such as Python or Scala
  • Experience working with complex analytical tools, such as SAS or R
  • Hands-on experience in data visualisation tools such as Tableau, Spotfire, and/or Tableau
  • Working experience in statistical techniques like Regression, Clustering, Time Series Forecasting, etc.

Job Description

Work with and lead cross-functional teams, to support strategic business decisions for our clients with insights and analytical solutions.

The ideal candidate will

  • Possess strong analytical/logical thinking and communication skills
  • Manage stakeholder expectations and understand the business problem from their point of view
  • Lead an analyst team efficiently and effectively
  • Translate business requirements to analytical solutions and key usable deliverable formats
  • Work independently taking ownership of complete solutions and deliverables
  • Analyze large volumes of data to gain Insight and identify opportunities for improvement.
  • Communicate findings and recommendations to all stakeholders
  • Ensure solutions are scalable, reusable
  • Work on a variety of analytical problems and provide thought leadership
  • Interact with onsite team as well as client on daily/weekly basis to gather requirements/provide updates
  • Be involved in business development through pre-sales/operational support

Eligibility Criteria

  • Bachelors in Engineering or Masters in Statistics/Economics
  • 4-8 years of experience in the analytics space
  • Superior analytical and problem solving
  • Attention to detail and passion for accuracy
  • Experience leading a team of analysts
  • Working knowledge of one or more scripting language(s) such as Python or Scala
  • Working knowledge of one or more complex analytical tools such as SAS or R
  • Working knowledge of data visualisation tools such as Tableau, Spotfire, and/or Qlikview
  • Experience researching and manipulating complex and large data sets (both distributed and non-distributed) and familiarity with statistical analysis like hypothesis testing, regression, cluster analytics, etc.
  • Proven ability to deep dive and understand the data, by leveraging creative thinking and problem-solving skills, to create new data models
  • Strong understanding of data infrastructure, data warehouse, or data engineering
  • Working knowledge of MS Excel and PowerPoint
  • Excellent verbal and written communication skills, with fluency in English

Job Description

Strong problem solving skills, coupled with technical expertise to design and execute analytics projects and drive better decisions and profitability for our clients.

The ideal candidate will

  • Possess strong analytical/logical thinking and communication skills
  • Develop clear, actionable models and recommendations from “relevant” datasets
  • Collaborate with the data warehousing team, ensuring that data infrastructure supports the needs of our analytics team and emphasize data quality
  • Advocate exploration of interesting data anomalies or patterns to enhance client engagement and value
  • Design and develop data components and processes that extract and transform data across disparate databases for reporting and analytics, ensuring integrity of data
  • Assist the development and testing of data tables
  • Ensure solutions are scalable, repeatable
  • Be involved in solving various analytics problems and provide thought leadership on problems being worked on
  • Interact with onsite team as well as client on daily/weekly basis to provide updates
  • Be involved in building the organization through pre-sales and operational support, as need be
  • Partner closely with internal and client business & technical teams to understand their project objectives and provide data-driven solutions and recommendations
  • Lead analysts in their respective work streams

Eligibility Criteria

  • Bachelors in Engineering (any discipline) or Masters in Statistics/Economics
  • 2-4 years of experience in the analytics space
  • Superior analytical and problem solving
  • Attention to detail and passion for accuracy
  • Proficiency with at least one of SAS / R / Python
  • Proficiency with data visualization tools such as Tableau, Spotfire, Qlikview
  • Experience working with statistical / econometric techniques
  • Experience working with SQL and a strong understanding of data infrastructure, data warehouse, and/or data engineering
  • Proven ability to deep-dive and understand the data and leverage creative thinking and problem-solving skills to create new data models
  • Ability to coordinate with business planners and decision makers to translate business questions into verifiable data models and insights
  • Working knowledge of MS Excel and PowerPoint
  • Good verbal and written communication skills

Job Description

As a Manager for Consulting, you will work towards advising our clients and internal teams on the analytical projects we undertake as well as actively participate in the sales process, working alongside the sales team. As an individual contributor, you will leverage your technical skills, business acumen and creativity to analyze business problems, build collaterals to support the sales call, do market research on the new leads, build point of views for the problems statements and execute proof of concepts and pilots. The ideal candidate is deeply analytical and detailed-oriented and capable of thinking independently.

The ideal candidate will

  • Be involved in the development of the company through pre-sales/operational support
  • Develop clear, concise, actionable solutions and recommendations for Client’s business needs
  • Coordinate with decision makers to translate business questions into verifiable hypothesis and data models
  • Actively explore the client’s business and formulate solution ideas that can improve process efficiency and cut cost, or achieve growth/revenue/profitability targets faster
  • Partner closely with the business and technical teams of the client to understand their project objective and coordinate effectively with delivery teams of Tredence to provide data-driven solutions and recommendations
  • Work with engineers to develop, test, and maintain the accurate tracking, capturing and reporting of key data
  • Ensure solutions are scalable, reusable, efficient and effective
  • Work hands-on across various analytics problems and provide thought leadership on problems that we are working on
  • Interact with onsite sales team as well as client on daily/weekly basis to gather requirements/ provide updates

Eligibility Criteria

  • Bachelor in IT / Computers / EE or related fields; MBA is a plus
  • 5-8 years of analytics delivery experience
  • Experience researching and manipulating complex and large data sets
  • Possesses strong analytical/logical thinking, storyboarding and executive communication skills

Nice to have:

  • Proficient in one or more scripting languages, such as Python or Scala
  • Experience working with complex analytical tools, such as SAS or R
  • Experience with data visualization tools, such as Tableau/Spot fire/Qlikview
  • Experience in statistical techniques such as Regression, Clustering & Time Series Forecasting, etc.
  • Strong understanding of data infrastructure, data warehouse, or data engineering

Reporting to

COO

Team

Current size is about 45 expected to grow to about 85 by end of 2018 comprising ETL, BI and data science skilled team members at various levels.

Background of the role

Tredence differentiates itself from other analytics services firms by helping our clients take insights from data to the last mile in order to drive true business impact. This is enabled by creating technical assets through operationalization of insights. The final technical asset could be as simple as a dashboard or as complex as an enterprise wide system. We also self-help by creating model ready datasets from warehouses or marts and ease the pain of data engineering plumbing for our clients.

This role will be responsible for driving development and deployment of such analytics solutions for clients.

Experience & Qualification

  • At least 12 years of professional experience in data related technologies with focus on BI/Analytics solutions (application development or solution architect roles)
  • At least 3 years of experience with big data related technologies (any stack)
  • Experience with analytics / data science solutions
  • Engineering degree required with an optional Masters in Technology, Management or Analytics

Key result Areas

  • Ability to conceptualize business solutions and architect the solution with help of team members
  • Accountable for solution architecture, delivery schedules, quality and resourcing
  • Strong client facing ability is a must to be able to relate to client needs to operationalize insights
  • Ability to engage with clients and internal teams in pre-sales stage to understand needs and present solution blueprint early in the sales cycle
  • Ability to work with peers who are business principals to understand client needs and skill gaps with analytics delivery teams that can be filled with technology specialists
  • Grow the nascent data sciences team to keep abreast of latest developments in the field through training programs, PoCs and strawman solutions that enable a go to market for the sales team
  • Grow and manage large teams with diverse technology skillsets – ability to hire, develop and retain talent is key
  • Exceptional communication skills, written skills and business acumen
  • Good understanding of the Analytics process that leads to insights from data
  • Flexibility to travel as needed