About Company
Empowering businesses through insightful data, Career.zycto stands at the forefront of innovation in Lagos. We are a dynamic and fast-growing consulting firm, specializing in transforming complex data into actionable strategies that drive real-world impact for our diverse client portfolio. For a Senior Data Analyst, this means an unparalleled opportunity to lead high-impact projects, shape strategic decisions, and mentor junior talent within a collaborative and forward-thinking environment. Join us and leverage your expertise to unlock new possibilities, working alongside passionate professionals dedicated to excellence and continuous learning.
Job Description
Are you a seasoned data professional passionate about uncovering hidden insights and driving strategic decisions? Career.zycto is actively seeking a highly skilled and experienced Senior Data Analyst to join our vibrant team in Lekki Phase 1, Lagos. This pivotal role offers a unique opportunity to lead complex analytical projects, contribute directly to client success, and significantly influence our data strategy. We are looking for an individual who can not only navigate vast datasets but also tell compelling stories with data, guiding our clients and internal teams towards optimal outcomes.
At Career.zycto, we believe that data is the bedrock of intelligent business. As a Senior Data Analyst, you will be at the heart of this philosophy, translating raw data into compelling narratives and actionable recommendations. You will work across various industries, tackling diverse challenges that demand both technical prowess and strategic foresight. Your daily activities will span the entire data lifecycle, from defining data collection methodologies, ensuring data quality and integrity, to building sophisticated analytical models, performing in-depth statistical analysis, and ultimately presenting your findings to stakeholders, often at the executive level. This means you’ll be instrumental in developing key performance indicators (KPIs), designing A/B tests, and creating comprehensive dashboards that provide real-time insights.
We are looking for someone who thrives on problem-solving, possesses an insatiable curiosity for understanding ‘why’, and has a proven track record of delivering impactful data-driven solutions. You’ll be a critical thinker who can identify trends, forecast outcomes, and recommend strategic actions based on solid evidence. Beyond your analytical capabilities, you will also play a crucial role in mentoring junior team members, fostering a culture of data literacy across the organization, and continuously seeking out innovative ways to leverage data for competitive advantage. This includes evaluating new tools and technologies, streamlining data processes, and championing best practices in data governance and security. This role is perfect for an individual who is eager to take ownership, drive initiatives from conception to implementation, and make a tangible impact on both our internal operations and our clients’ bottom lines. If you’re ready to elevate your career in a dynamic, collaborative, and impact-driven environment, where your contributions are recognized and valued, we encourage you to apply and become a key player in our mission to empower businesses through data.
Key Responsibilities
- Lead the design, development, and maintenance of scalable data models, reports, and dashboards to support business intelligence needs.
- Conduct in-depth statistical analysis, predictive modeling, and data mining to identify trends, patterns, and insights that inform strategic decisions.
- Collaborate with cross-functional teams, including product, marketing, and operations, to define analytical requirements and deliver impactful data solutions.
- Translate complex data findings into clear, concise, and actionable recommendations for both technical and non-technical stakeholders.
- Ensure data accuracy, integrity, and consistency across various data sources and reporting platforms.
- Mentor and provide guidance to junior data analysts, fostering a culture of continuous learning and data excellence.
- Evaluate and recommend new tools, technologies, and methodologies to enhance our data analysis capabilities.
Required Skills
- Proven expertise in SQL for complex querying, data manipulation, and database management.
- Advanced proficiency in data visualization tools such as Tableau, Power BI, or Qlik Sense.
- Strong programming skills in Python or R for data analysis, statistical modeling, and machine learning.
- Extensive experience with large datasets and data warehousing concepts (e.g., ETL processes).
- Solid understanding of statistical concepts and their application in data analysis (e.g., hypothesis testing, regression analysis).
- Exceptional analytical, problem-solving, and critical thinking abilities.
- Excellent communication and presentation skills, with the ability to convey complex information clearly to diverse audiences.
Preferred Qualifications
- Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Experience with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure Synapse).
- Familiarity with A/B testing methodologies and experimental design.
- Prior experience in a consulting environment or across multiple industries.
- Knowledge of data governance principles and best practices.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health insurance coverage (HMO).
- Generous paid time off and public holidays.
- Professional development opportunities and training allowances.
- Access to cutting-edge analytical tools and technologies.
- Collaborative and supportive work environment.
- Regular team-building activities and social events.
- Opportunity for career growth and advancement within a rapidly expanding company.
How to Apply
Interested candidates are encouraged to click on the application link below to submit their resume and a cover letter detailing their relevant experience and why they are a great fit for Career.zycto.
