Qode
Key Responsibilities
Collect, clean, and analyze structured and unstructured datasets from multiple sources (databases, cloud storage, APIs, spreadsheets). Design and build
dashboards, reports, and visualizations
using BI tools (e.g., Looker, Tableau, Power BI, Data Studio). Develop and maintain
SQL queries, scripts, and pipelines
to extract and transform data for analytics use cases. Perform
exploratory data analysis (EDA), descriptive statistics, and trend analysis
to identify business patterns and opportunities. Collaborate with stakeholders across product, business, and engineering teams to
translate requirements into data insights . Support
KPI definition, monitoring, and reporting
to track business performance. Ensure data integrity, accuracy, and governance across reports and dashboards. Recommend improvements in
data collection methods, data quality, and reporting automation . Contribute to
predictive and prescriptive analytics initiatives
by preparing data and assisting data science teams. Required Qualifications
Bachelor’s degree in
Data Analytics, Statistics, Computer Science, Engineering, or related field . 2–5 years of professional experience
in data analytics or business intelligence. Strong proficiency in
SQL
for querying and data manipulation. Experience with
data visualization tools
(Looker, Tableau, Power BI, or Data Studio). Proficiency in
Excel / Google Sheets
for quick analysis and reporting. Strong understanding of
data modeling, KPIs, and metrics tracking . Experience with
cloud platforms (Google Cloud, AWS, or Azure)
is a plus. Familiarity with
Python/R
for data analysis preferred. Excellent problem-solving, analytical thinking, and communication skills.
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Collect, clean, and analyze structured and unstructured datasets from multiple sources (databases, cloud storage, APIs, spreadsheets). Design and build
dashboards, reports, and visualizations
using BI tools (e.g., Looker, Tableau, Power BI, Data Studio). Develop and maintain
SQL queries, scripts, and pipelines
to extract and transform data for analytics use cases. Perform
exploratory data analysis (EDA), descriptive statistics, and trend analysis
to identify business patterns and opportunities. Collaborate with stakeholders across product, business, and engineering teams to
translate requirements into data insights . Support
KPI definition, monitoring, and reporting
to track business performance. Ensure data integrity, accuracy, and governance across reports and dashboards. Recommend improvements in
data collection methods, data quality, and reporting automation . Contribute to
predictive and prescriptive analytics initiatives
by preparing data and assisting data science teams. Required Qualifications
Bachelor’s degree in
Data Analytics, Statistics, Computer Science, Engineering, or related field . 2–5 years of professional experience
in data analytics or business intelligence. Strong proficiency in
SQL
for querying and data manipulation. Experience with
data visualization tools
(Looker, Tableau, Power BI, or Data Studio). Proficiency in
Excel / Google Sheets
for quick analysis and reporting. Strong understanding of
data modeling, KPIs, and metrics tracking . Experience with
cloud platforms (Google Cloud, AWS, or Azure)
is a plus. Familiarity with
Python/R
for data analysis preferred. Excellent problem-solving, analytical thinking, and communication skills.
#J-18808-Ljbffr