Data Scientist

Location: Bengaluru, Karnataka

*** Mention DataYoshi when applying ***

from 5 to 8 year(s) of Experience
₹ Not Disclosed by Recruiter

Job Description

    Roles and Responsibilities

    Essential Duties:

    • Regularly apply advanced data analysis skills to understand detailed data flows between systems and within systems for their domain
    • Design & implement data models, dimensional & relational concepts like Star-Schema, Snowflake Schema Modeling, Fact and Dimension tables; experience in Extract, Transform and Loading process of data
    • Research, analyze, and interpret large data sets to develop data-driven insights
    • Utilize multiple tools and programs to analyze and convert source data to a standardized format.
    • Perform data quality control reviews and data assessments to identify trends and anomalies.
    • Partner with teams such as information technology, cyber security engineering, business managers, and other analytical teammates tounderstand data and resolve business problems
    • Translate business issues into data problems and use analytics to provide actionable solutions/recommendations that support overall product strategy
    • Exercise creativity, critical thinking, analytical thinking, and collaboration to solve problems
    • Develop spreadsheet and/or statistical models using a combination of management knowledge, statistical techniques, and machine learning/optimization techniques
    • Assist in querying data and creating metrics for monitoring and analysis
    • Using best practices framework to ensure data quality and reconciliation checks are in place and are transparent to our users
    • Lead and support data needs for special projects
    • Communicating with IT partners to share selected transformation processes by facilitating and reviewing business requirements.
    • Participate in strategic planning of projects and initiatives
    • Apply sound judgment in determining how to collect, interpret, transform, and analyze data to produce meaningful results
    • Routinely recommend analytical solutions, data mining approaches, and scenario analysis to solve business problems
    • Execute tasks independently and exercise judgment based on the analysis of multiple resources
    • Drive technical designs to consensus and approval by Architecture Review Team.
    • Performs impact analysis of proposed changes on existing architecture, capabilities, system priorities, and technology solutions; looks for additional solution options or trade-offs. Identifies cost/benefit implications of proposed solutions (e.g. people, processes, technology, strategy, finance).
    • Creates and maintains application architecture and related assets. Be the go-to person for development team on architecture discussions.


    • Bachelor or Master’s Degree in Engineering, Math, Computer Science, Econometrics, Statistics, Operational Research, or equivalent analytical or technical fields that use large data and statistics
    • 5 plus years of data background with the ability to distill and synthesize various data into cohesive insights,analysis, and/or recommendation
    • Proven knowledge of statistical modeling methods, and various advanced analytic techniques
    • 3+ years using SQL or other query and scripting languages to aggregate, gather, and manipulate data.
    • 2+ years reading and writing analytical programming languages (SQL, Python, R, or similar).
    • Advanced knowledge of Business Objects, SQL, and Microsoft Applications, including Excel and Access.
    • Proficient in analytic and visualization software (Tableau, Power BI, Alteryx, Databricks or similar)
    • Deep understanding of relational databases, ETL tools, data conversion and data cleansing methodologies
    • Experience with (or at least exposure to) cloud-based databases like Redshift, Snowflake, or BigQuery.
    • Strong Knowledge of statistics and experience using statistical packages for analyzing large datasets especially Excel and SQL
    • Experience with systems integration, building system models by combining model components and testing the integrity of modeling systems, proficient with model and systems implementation testing
    • Ability to work with large data sets, databases and data models to derive actionable metrics
    • Knowledge of information technology assets and related vulnerability information preferred
    • Well versed with core CS concepts such as: common data structures and algorithms, profiling/optimization, cost optimization problems/machine learning
    • Strong SQL experience; graphing skills
    • Collaborative work style and approach to problem solving
    • Thought leadership skills
    • Process management skills
    • Effective time management and organizational skills
    • Strong written and verbal communication skills

    Nice to have:

    • Prior experience with regulated financial organizations

    Role:Data Analyst

    Salary: Not Disclosed by Recruiter

    Industry:IT-Software, Software Services

    Functional AreaAnalytics & Business Intelligence

    Role CategoryAnalytics & BI

    Employment Type:Full Time, Permanent

    Key Skills
    DesignDetailingData Analysis


    UG:Any Graduate in Any Specialization

    PG:Any Postgraduate in Any Specialization

    Doctorate:Doctorate Not Required

    Company Profile

    RiverForest Connections Private Limited

    Client of Riverforest Connections
    Company Info

    Contact Company:
    RiverForest Connections Private Limited


    *** Mention DataYoshi when applying ***

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