About the Role

We are looking for a Data Scientist who will proactively fetch data and information from various sources to support our product, sales, leadership, operations, and marketing teams with insights gained from analyzing company data.

The ideal candidate is adept at sifting through data points to create organized categories, comparing data points to current company processes and writing reports outlining business predictions or proposals. You are great at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.

You have proven ability to drive business results with their data-based insights through a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. And you are comfortable working, collaborating and communicating with a wide range of stakeholders and functional teams.

Key Duties and Responsibilities

• Working with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Developing and improving data collection procedures for use in analytic systems.
• Preprocessing, cleansing, and validating the integrity of structured and unstructured data for use in further analysis.
• Mining and analyzing usable data from company databases to facilitate optimization and improvements in product development, marketing, sales, and other business strategies.
• Assessing the effectiveness and accuracy of new data sources and data-gathering techniques.
• Developing custom data models and algorithms to apply to data sets.
• Using predictive modelling to increase and optimize customer experiences, fraud detection and other business outcomes.
• Coordinating with different functional teams to implement models and monitor outcomes.
• Developing processes and tools to monitor and analyze model performance and data accuracy.
• Analyzing large amounts of information to find patterns and solutions.
• Developing prediction systems and machine learning algorithms.
• Communicating and presenting findings in a clear manner.
• Proposing solutions and strategies to tackle business challenges.

Key Qualifications & Your Profile:

• 5+ years of experience manipulating data sets and building statistical models.
• A degree in Statistics, Mathematics, Computer Science or another quantitative field. A Masters or Professional certification is an added advantage.
• Programming Skills – knowledge of and experience with Statistical programming languages like R, Python, SQL, Java, Scala, C++, or JavaScript
• Experience using web services: Redshift, S3, Spark etc.
• Experience working with and creating data architectures.
• Experience with different machine learning techniques and algorithms (clustering, regression, simulation, scenario analysis, modeling, decision tree learning, artificial neural networks, k-Nearest Neighbors, Naive Bayes, SVM, etc.) and their real-world advantages/drawbacks.
• Experience in statistical and data mining techniques (text mining, GLM/Regression, Random Forest, social network analysis, Boosting, Trees, etc.)
• Experience visualizing and presenting data for use by stakeholders using Tableau, D3, matplotlib, ggplot, etc.
• Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
• Excellent written and verbal communication skills for coordinating across teams and communicating findings to technical and non-technical teams.
• Desire to learn and master new technology skills and techniques.
• Strong problem-solving skills and aptitude.
• Ability to navigate ambiguity.

About the role

We are looking for a Data Engineer who will proactively implement methods to improve data reliability and quality. They will be responsible for coordinating with teams to create unique data infrastructure, running tests on their designs to isolate errors and updating systems and data to accommodate changes in company needs.

Duties & Responsibilities

• Acquire and/or assemble datasets that align with functional / non-functional business needs.
• Create and maintain optimal data pipeline architecture.
• Identify, design, and implement internal data process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Develop algorithms to transform data into useful, actionable information.
• Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
• Build, test, and maintain database pipeline architecture and infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with various stakeholders to assist with data-related technical and infrastructure needs.
• Ensure compliance with data governance and security policies.
• Communicate findings to technical and non-technical stakeholders through various means including visualizations and presentations.
• Explore ways to enhance data quality and reliability.

Qualifications for Data Engineer

• 3+ years of as a data engineer or in a similar role.
• Degree in Computer Science, Statistics, IT, or a similar field; a Master’s is a plus.
• Technical expertise in data models, data mining, and segmentation techniques.
• Knowledge of programming languages (e.g. Java and Python).
• Experience visualizing and presenting data for use by stakeholders using Tableau, D3, matplotlib, ggplot, etc.
• Hands-on experience with database design, advanced working knowledge with SQL, experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Great numerical and analytical skills working with structured and unstructured datasets.
• Strong project management and organizational skills.
• Ability to build processes that support data transformation, workload management, data structures, dependency and metadata.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ stores.

About the role

The Business Intelligence Analyst (BI Analyst) will play a critical role in helping our team collect, analyze and action data to improve our operational efficiency and customer experience.

They will sit within our “Service Center” team, supporting the operations and growth of multiple country offices. Working with the leadership across insurance operations, contact center operations, partnerships management, technology, and business development, the BI Analyst will identify opportunities to use data to drive sales, enhance reporting, increase contact center efficiency, streamline claims and policy operations, and detect fraud. They will then take the lead in conducting these analyses, and presenting findings and recommendations.

Key Roles & Responsibilities

• BI Strategy and Prioritization: Work closely with the leadership of key functions and country offices to identify and prioritize opportunities to collect and analyze data that will support key business goals.
• Systems: Use data in various locations and analysis for ad hoc business, and performance reporting using BI tools and/or query languages.
• Analysis: Conduct data analysis on company customer and operational data sets to extract insights and enhance data-driven decision-making.
• Reporting & Presentation: Synthesize data into visual and non-visual reports and recommendations that can be shared with key leadership to guide business decisions.

Key Qualifications & Your Profile

• Live Turaco’s values – care and protect our customers, do the right thing, and have fun!
• 3+ years of professional experience in a similar function. Start-up or entrepreneurial experience is a plus!
• Exceptional data analysis skills. Experience with SQL and BI tools such as PowerBI or Google DataStudio is a plus.
• Strong communication skills, especially in the ability to present information & data in a clear and compelling manner.
• Ability to innovate and think creatively and strategically about how to use data to improve our operations and enhance customer experience.
• Ability to navigate ambiguity, juggle multiple tasks, think independently, demonstrate sound judgment, and problem-solving.
• Bachelor/Undergraduate degree with excellent grades.