Senior Data Analyst - Artificial Intelligence
Truelogic is a leading provider of nearshore staff augmentation services, located in New York. Our team of 500 tech talents is driving digital disruption from Latin America to the top projects in U.S. companies. Truelogic has been helping companies of all sizes to achieve their digital transformation goals. Would you like to make innovation happen? Have you ever dreamed of building Products that impact millions of users? Nice! Then we have a seat for you on our team!
What are you going to do?
You will have the opportunity to work in a forward-thinking and growth-oriented environment, at a software company founded to address the fundamental disconnect between people and the companies they interact with every day. We give people a strong, collective voice to share experiences, inform companies, and influence change in our world.
Occupy a unique position in the market We are looking for a data expert to join our Data team. The client works with big brands, strategic consulting firms and global marketing agencies. We turn billions of mobile location signals into context-rich, business intelligence that helps our clients enhance customer experience, increase sales and improve business operations.
Our Data Analysts play a critical role in connecting our vast data pool with the business needs of our customers -- creating intuitive and valuable insights. This role will work closely with the engineering, product, sales, and marketing organizations to get to the bottom of hard data questions, to ensure data quality and identify opportunities that will shape the direction of the company. If you love SQL, if you are always finding new ways to prove your point using data, this job is for you.
Responsibilities
- Create rock-solid reports and clear, interesting data visualizations
- Develop a deep understanding of the data architecture, its related datasets, and the interactions between them
- Collaborate across multi-functional teams
- Automate frequent reporting requests to maximize efficiency
What will help you succeed
- Experience in core data science activities: extracting data from SQL data stores, exploratory data analysis, data visualization and reporting.
- Experience working with large datasets and expertise in SQL; ideally familiar with AWS, Python or R. Experience with geospatial analysis and spatial data is highly desirable.
- Solid foundational knowledge of descriptive and predictive statistics.
- Proficient with Unix commands and regular expressions.
- Experience with BI and data visualization tools (Tableau, Qlik, Power BI, Looker, Adobe Analytics, etc.).
- 3+ years’ work experience as a Quantitative Analyst or comparable role.
- Degree in an analytical field with coursework in statistics (e.g. Math, Linguistics, Econ, Physics, Chemistry, Engineering).
- Strong competence in analyzing data and turning it into a communicable value proposition.
- Proven track record of an investigative mindset, getting to the core of hard data problems.
- A perfectionist for getting analyses correct; a pragmatist for getting things done on time.
- Problem solving, analytical skills and decision making.
- Can approach problems in an innovative manner, exhibiting the aptitude to think quickly.
- Flexible, self-motivated, and proactive out-of-the-box and critical thinker.
Nice to have
- Cli tools
- Python or Shell
- Python or Shell
- Geospatial data (amazing to have)