
Business Intelligence Analyst
12 hours ago
Career Opportunities in Data Analysis
A great place to work.
About the Role:We are seeking an experienced Business Intelligence Analyst to support our data science team.
The successful candidate will be responsible for robust and repeatable data manipulation, large scale infrastructure for data ingestion, and stunning data visualization for custom applications.
Key Responsibilities:- Responsible for data mining, data preparation, and reporting.
- Prepare and conduct analyses and studies, needs/gaps assessments.
- Apply knowledge to determine the accuracy and reasonableness of the data, recommendations, and solutions proposed.
- Document and summarize the results and develop and recommended solutions to client problems.
- Prepare big data, implement data models developed by others, and provide database support for customer solutions.
- Member of a data science project team, supporting data scientists or other consultants in the performance of assigned tasks.
- Four years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related quantitative or mathematical discipline.
- Bachelor's Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related scientific or technical discipline.
- Knowledge of data mining methods, databases, data visualization, and machine learning.
- Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series (e.g., ARIMA).
- Experience implementing NLP concepts including preprocessing (stemming, etc.), TF-IDF, Named Entity Recognition, and LLMs.
- Ability to communicate analysis techniques, concepts, and products.
- Ability to develop data-driven analysis and reports based on data visualizations and data models.
- Strong SQL skills, and ability to identify issues with data.
- Experience with Qlik.
- Experience with Tableau.
- Experience with PowerBI tools.
- Familiarity with Databricks or similar cloud-based distributed database technologies.
- Understanding of database and database design.
- Demonstrated experience with cleaning, managing, optimizing performance, and processing large volumes of data.
- Demonstrated experience within an AWS environment (AWS certifications preferred).
- Familiarity with industry best practices for software-hardware optimization when processing large sets of data.
- Ability to travel to and work on site at clients as needed.
- Excellent communication skills both verbal and written.
- Expertise with Qlik.
- Experience with machine learning, with statistical modeling, time-series forecasting and/or geospatial analytics.
- Experience with Hadoop, Spark or other parallel storage/computing processes.
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