- Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales
- Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities
- Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices
What you'll do:
- Provides data analysis support by validating and analyzing data ; cross-referencing and checking data points; conducting trend analyses; categorizing data based on trends ; determining data correlations; interpreting trends to identify root causes and relationships to current initiatives.
- Extract data from a variety of sources using SQL, BigQuery, Hive, Presto and transform it to a structure that is relevant to the problem at hand.
- Conduct complex data analysis using Python, R and SQL on structured and unstructured data.
- Use Tableau, Looker, Power BI, DASH and other visualization tools to communicate complex data insights in an easily understandable manner to various stakeholders.
- Utilize data analysis to inform strategic decisions and drive change.
- Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals
- Communicate recommendations to business partners and influencing future plans based on insights
What you'll bring:
- Bachelors with 3+ years of experience / masters degree with 1 years of experience. Educational qualifications should be preferably in Computer Science/Mathematics/Statistics or a related area. Experience should be relevant to the role.
- High proficiency in data visualisation and analysis. Experience in data visuation tools such as Power BI, Tableau, Looker, etc
- High proficiency with SQL and relational databases, data warehouse
- Hands-on experience in coding including Python with excellent knowledge of Data Structures
- Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data
- Fundamentals of ML and data science knowledge
- Experience in data transformation and wrangling (ETL capabilities)
- Experience in data t
- Hands on experience with Git
- Flexible and Open to working in a 24x7 environment with rotating shifts and rotating weeks off including holidays
Good to have:
- Experience in Finance domain.
Benefits
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
Minimum Qualifications
Option 1: Bachelors degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years experience in data analysis, data science, statistics, or related field.
Option 2: Masters degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
Option 3: 4 years experience in data analysis, data science, statistics, or related field.
