At Snoonu we believe that through technology anything is possible. Our vision is to be the first Qatari Super App that propels the region and its community through our innovative technology.
We are leaders in the field with ambition in what we do and how we impact. We empower our team to create without limit and think BIG! At Snoonu we believe that everyone's contributions are important, we coach, we listen and we act.
Our culture is boundless and equipped to hit the ground running at any given time.
Our mission is simply to transform how we live by connecting people with a technology that equips them with endless possibilities, to surpass norms and uplift communities, to create opportunities and to do it proudly.
We welcome talents, entrepreneurs and creative minds to join us in this journey of becoming Qatar's first Unicorn.
This is how we make a difference, We :
Change the game through innovation - We are thought leaders in all our actions. We constantly innovate and create solutions to bring lasting positive impact.
Act with integrity - We are honest, ethical and trustworthy in everything we do.
Fly, fail, fly - We embrace and learn from mistakes, and bounce back stronger.
Lead by example - Be the change you want to see and take ownership.
Support good vibes only!
Objectives of the role :
Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks
Identify trends and opportunities for growth through analysis of complex data sets
Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for data sets
Create best-practice reports based on data mining, analysis, and visualization. Identify, evaluate and implement external services and tools to support data validation and cleansing.
Produce and track key performance indicators
Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data
Work directly with management and users to gather requirements, provide status updates, and build relationships, identify areas to increase efficiency and automation of processes and set up and maintain automated data processes.
Develop and support reporting processes, monitor and audit data quality, and liaise with internal and external clients to fully understand data content
Gather, understand and document detailed business requirements using appropriate tools and techniques
Some of) What you'll be doing :
Work closely with department leads to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs, and deliver actionable insights to relevant decision-makers.
Develop reporting solutions to complex business questions or problems using analytical best practices. Produce analytical reports with sourced data which provides data-driven insights on specified KPIs and business processes
Proactively analyse data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity.
Be able to communicate data findings and implications to stakeholders in a coherent manner, for both technical and non-technical audiences, especially within reports or presentations
Be able to run data audits, unit tests and quality assurance of existing reports, models and even database integrity. Work with large and unstructured data and be able to effectively clean / transform it for analysis
Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources.
Apply such end-to-end analyses using advanced analytical methods which apply to sourcing data, requirements specification, analysis and visualization, and possibly prediction as well.
Construct new ways of both sourcing data and automating its usage.
Define and implement data acquisition and integration logic, selecting appropriate combination of methods and tools within defined technology stack to ensure optimal scalability and performance of the solution
Should develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across data sets
Identify areas of improvement for data processes and continually innovate for applicable best data practices which will contribute to business growth
Do you have any of these?
Bachelor’s Degree from reputable university in a STEM discipline (Science / Data Science / Computer Science, Technology, Engineering or Mathematics), or in a closely related field such as Statistics, Business Analytics or Economics
At least 1-2 years of experience in a prior analytics or data-science related role which includes exposure to the end-to-end process of analytics, including sourcing, cleaning, diagnosing, analysing and visualizing.
Must have a thorough understanding of the landscape of analytics including descriptive, diagnostic and predictive
Must have strong command in SQL in writing queries against large datasets and databases, specifically PostgreSQL, as well as doing unit testing for SQL queries.
This includes data modelling with SQL and complex joins. Must have a strong understanding of data warehousing, database management and working with complex / unstructured data.
Should also be familiar with NoSQL. Should be familiar with data validation and quality assurance
Must have a strong understanding of mathematics and statistics, with a keen sense of statistical thinking. Should be able to translate business problems into statistical or data-related scenarios
Must have a strong command on spreadsheet tools (Excel) for basic data analyses and should be familiar with Python or R for analyses of larger datasets
Should be familiar with visualization tools such as Tableau and Redash. Should be comfortable in creating complex visualizations and dashboards, specifically for ad-hoc queries as well
Must be a problem solver and possess attention to detail, as well as a keen sense of curiosity about utilizing data to add business value.
Should possess self-initiative, be process-oriented and a logical thinker
Must be a team player and actively coordinate with the technology and engineering divisions to inquire data queries or requests
Must have excellent communication skills in order to convey the meaning and implications of insights and data models to internal stakeholders.
Should be able to develop narratives and stories from data, especially for amalgamating data findings within reports or presentations