  The large-scale distribution of matter, as mapped by photometric surveys like
the Dark Energy Survey (DES), serves as a powerful probe into cosmology. It is
especially sensitive to both the amplitude of matter clustering ($\sigma_8$)
and the total matter density ($\Omega_m$). The fiducial analysis of the
two-point clustering statistics of these surveys is invariably done in
configuration space where complex masking scheme is easier to handle. However,
such an analysis inherently mixes different scales together, requiring special
care in modeling. In this study, we present an analysis of DES Y3 3x2
clustering data in harmonic space where small and large scales are better
separated and can be neatly modeled using perturbative techniques. Using
conservative scale cuts together with Limber approximation and a Gaussian
covariance assumption in a first study, we model the clustering data under a
linear bias model for galaxies, incorporating comprehensive treatment for
astrophysical effects. We subsequently extend this fiducial analysis to explore
a third-order biasing prescription. For our fiducial analysis, we get
$S_8=0.789\pm0.020$, consistent with the configuration space analysis presented
by the DES collaboration, although under our different modeling choices, we
find a preference for a lower $\Omega_m$ and a higher $\sigma_8$. The analysis
sets the stage for a future search for signatures of primordial non-Gaussianity
and blue-tilted isocurvature perturbations from photometric surveys.
