Business Analyst - SMB Analytics

Key Skills

Automation, Business Intelligence, Data Visualization, Machine learning techniques, Python Programming, R Programming, SQL, Statistical modeling, Tableau

Job Description

About the Role:

As a Business Analyst you would be responsible to solve complex business problems leveraging data science, primarily focusing on understanding data solutions for business problems, improve customer experience, increase operational efficiency and reduce cost.

What you’ll be doing:

• Design experiments, test hypotheses, and build models utilizing the data at hand.
• Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple decision systems.
• Utilize patterns and variations in the volume, speed and other characteristics of data for predictive analysis.
• Define the preprocessing or feature engineering to be done on a given dataset, training models and tuning their hyper-parameters, analyzing the errors of the model and designing strategies to overcome them
• Selecting features, building and optimizing classifiers using machine learning techniques
• Creating automated anomaly detection systems and constant tracking of its performance
• A lot of Business Intelligence using Data Visualization and SQL, to derive insights and help different teams to go in a particular direction using the insights drawn through the data.
• Perform a lot of automations using Python on the reporting side.

What are we looking for

• Bachelors in mathematics, statistics or computer science or a related field;
• 2+ years of relevant quantitative and qualitative analytics experience.
• Knowledge of statistical techniques.
• Preference for tier 1 colleges and/or work experience in firms with strong analytics setups
• Ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.
• Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
• Proficient in machine learning (regressions, Clustering, boosting, random forest)
• Strong programming & Modelling skills in R or Python, query languages such as SQL
• Knowledge of Tableau is a plus

What we offer

• A positive, get-things-done workplace
• A dynamic, constantly evolving space (change is par for the course – important you are comfortable with this)
• An inclusive environment that ensures we listen to a diverse range of voices when making decisions.
• Ability to learn cutting edge concepts and innovation in an agile start-up environment with a global scale
• Access to 5000+ training courses accessible anytime/anywhere to support your growth and development (Corporate with top learning partners like Harvard, Coursera, Udacity)